error in gromacs
高斯常见错误

近来一直在学习高斯,因为不精通常遇到各种错误。
结合自学的东西和查阅的资料总结出来一些错误,希望对和我一样的高斯初学者有所帮助。
1、Q:Error termination in NtrErr: ntran open failure returned to fopen. Segmentation faultE:Can't open a file.2、Q:Internal consistency error detected in FileIO for unit 1I= 4 J=0 I Fail= 1.E:Gaussian is limited to 16 GB of scratch space on the 32-bit nodes.3、Q:Out-of-memory error in routine UFChkP (IEnd= 12292175MxCore= 6291456)Use %Mem=12MW to provide the minimum amount of memory required to complete this step. Error termination via Lnk1e at Thu Feb 2 13:05:32 2006.E efault memory (6 MW, set in $GAUSS_MEMDEF) is too small for unfchk.4、Q:galloc: could not allocate memory.: Resource temporarily unavailableor Out-of-memory error in routine...or End of file in GetChg. Error termination via Lnk1e ...E:Not enough memory.5、Q:IMax=3 JMax=2 DiffMx= 0.00D+00Unable to allocate space to process matrices in G2DrvN:NAtomX= 58 NBasis= 762 NBas6D= 762 MDV1= 6291106 MinMem= 105955841.E:Gaussian has 6 MW free memory (MDV1) but requires at least 106 MW (MinMem).6、Q;Estimate disk for full transformation -677255533 words. Semi-Direct transformation. Bad length for file.E:MaxDisk has been set too low.7、Q:Error termination in NtrErr:NtrErr Called from FileIO.E:The calculation has exceeded the maximum limit of maxcyc.8、Q:Erroneous read. Read 0 instead of 6258688. fd = 4 g_readE:Disk quota or disk size exceeded. Could also be disk failure or NFS timeout.9、Q:Erroneous write. Write 8192 instead of 12288. fd = 4E:Disk quota or disk size exceeded. Could also be disk failure or NFS10、Q:orig len = 12288 left = 12288 g_writeE:timeout11、另有link错误:如:Error termination request processed by link 9999对于优化不收敛,即L9999错误,实际上是在规定的步数内没有完成优化,即还没有找到极小值点。
Gromacsmdp文件参数详解

Gromacsmdp文件参数详解Gromacs mdp文件参数详解title = BPTI inwater, 300K ;名字啦cpp = /lib/cpp ;预处理程序,gcc的路径define = -DPOSRES_LIPID ;对top文件的控制选项-DFLEXBLE:这个选项告诉grompp水分子是柔性的,非刚体-DPOSRES:限制自由度;constraints = all-bondsintegrator = md ;算法,md这里表示蛙跳算法dt = 0.001 ; ps! ;时间步长nsteps = 1000 ; total 10ps. ;步数comm_mode = None ;linear对质心平动,anglar平动+转动,none对质心无限制nstxout = 0 ;将坐标写入输出轨迹文件的频率nstvout = 0 ;将速度写入输出轨迹文件的频率nstfout = 0 ;将力写入输出轨迹文件的频率nstxtcout = 500 ;将坐标写日xtc坐标文件的频率nstlog = 1000 ;将能量写入log文件的频率nstenergy = 1000 ;将能量写入energy文件的频率nstlist = 10 ;neighborlist 的更新频率ns_type = grid ;neighborsearch 的种类,分两种grid:格子和simple coulombtype = PME ;库伦作用种类,cut-off,ewald,PME,PPPM....rlist = 1.0 ;短程neighbor-list截断半径rcoulomb = 1.0 ;库伦截断半径rvdw = 1.0 ;范德华力截断半径; Berendsen temperature coupling is on in two groupsTcoupl = berendsen ;热浴,berendsen和nose-hoovertc-grps = CNT SOL ;分别进行热浴的类tau_t = 0.1 0.1 ;热浴时间常数(ps)ref_t = 300 300 ;热浴的参考温度(对不同的类分别指定); Energy monitoringenergygrps = CNT SOL; non-equilibrium MDfreezegrps = CNT ;指出受约束的系统freezedim = YY Y ;Y=yes,N=no,三个字母分别代表xyz轴; Isotropic pressure coupling is now on;Pcoupl = berendsen ;NO:无压力耦合,盒子尺寸大小固定,berendsen:每个时间步长都会重新度量盒子大小,Parrinello-Rahman;Pcoupltype =semiisotropic;tau_p = 1.0 1.0 ;耦合时间常数;compressibility = 0 4.5e-5 ;压缩系数;ref_p =1.0 1.0 ;参考压强; Generate velocites is off at 300 K.gen_vel = no ;no:初始速度为零yes:按照麦克斯韦分布设定初始速度gen_temp = 300.0 ;麦克斯韦分布的温度gen_seed = 173529 ;使用随机发生器来产生随机速度(time()+ getpid()) % 1000000。
gromacs聚类方法

gromacs聚类方法
GROMACS中的聚类方法用于将模拟系统中的原子或分子聚类成具有相似结构或动力学特性的集团。
以下是几种常用的聚类方法:
1. g_cluster:该命令用于将模拟系统中的原子或分子聚类成相似的结构。
该命令需要输入一个结构文件和一个距离矩阵文件,根据用户指定的聚类算法(如RMSD和链接法)将原子或分子聚类成集团。
聚类方法包括RMSD聚类、链接法聚类(单链接法、完全链接法和平均链接法)等。
2. gmx cluster:该命令用于将模拟系统中的原子或分子聚类成具有相似动力学特性的集团。
该命令需要输入一个包含所有原子或分子的轨迹文件,根据用户指定的聚类算法(如RMSD或结构相关性矩阵)将原子或分子聚类成集团。
聚类方法包括RMSD聚类、自动切割聚类和结构相关性聚类等。
3. gmx rms:该命令用于计算不同结构之间的RMSD值,并可以用于聚类分析。
该命令需要输入一个包含所有原子或分子的轨迹文件,计算原子或分子之间的RMSD值,并可以根据指定的阈值对结构进行聚类。
以上是GROMACS中常用的几种聚类方法,可以根据具体需求选择适合的方法来进行聚类分析。
gromacs rmsd 参考结构

gromacs rmsd 参考结构“gromacs rmsd 参考结构”是一个关于分子动力学模拟中使用参考结构计算根均方偏差(Root-mean-square deviation,RMSD)的主题。
在接下来的1500-2000字的文章中,我将一步一步回答以下问题:第一步:什么是分子动力学模拟?第二步:为什么需要使用参考结构?第三步:什么是根均方偏差?第四步:如何使用gromacs计算RMSD?第五步:关于参考结构的选择和影响。
第六步:对计算结果的解释和应用。
第七步:对分子动力学模拟和RMSD的未来发展的展望。
第一步:什么是分子动力学模拟?分子动力学模拟是一种计算化学方法,用于研究和模拟分子系统的时间演化。
它基于牛顿运动定律,通过计算原子之间的相互作用力和能量,来模拟它们在给定条件下的运动行为。
分子动力学模拟通常用于研究复杂的生物分子如蛋白质、DNA和RNA的结构、动力学和功能。
第二步:为什么需要使用参考结构?在分子动力学模拟中,计算得到的原子坐标是相对于初始构象或者初始结构的坐标。
为了评估模拟结果的准确性,我们需要将模拟的结构与一个参考结构进行比较。
参考结构通常是实验确定的或者已知良好的结构。
通过计算模拟结构与参考结构的差异,我们可以评估模拟的准确度和稳定性。
第三步:什么是根均方偏差?根均方偏差(Root-mean-square deviation,RMSD)是评估两个结构之间的结构差异的一种常用指标。
它通过将两个结构中的对应原子之间的距离的平方和求平均值,再取其平方根得到。
RMSD越小表示两个结构之间的差异越小,结构越相似。
第四步:如何使用gromacs计算RMSD?gromacs是一种常用的分子动力学模拟软件,提供了计算RMSD的功能。
以下是使用gromacs计算RMSD的步骤:1. 准备输入文件:包括分子的拓扑文件和轨迹文件。
拓扑文件定义了体系的分子结构和参数,轨迹文件包含从模拟中得到的坐标。
gromacs中文教程

GROMACS Introductory TutorialGromacs ver 4.0Author: John E. Kerrigan, Ph.D.Associate Director, BioinformaticsThe Cancer Institute of NJ195 Little Albany StreetNew Brunswick, NJ 08903Phone: (732) 235-4473Fax: (732) 235-6267Email: kerrigje@翻译:梁(leunglm@)1GROMACS教程:蜘蛛毒素肽的研究Yu, H., Rosen, M. K., Saccomano, N. A., Phillips, D., Volkmann, R. A., Schreiber, S. L.: Sequential assignment and structure determination of spider toxin omega-Aga-IVB. Biochemistry 32 pp. 13123 (1993)GROMACS是一个使用经典分子动力学理论研究蛋白质动力学的高端的高效的工具[1]。
这个软件包是遵守GNU许可的免费软件,可以从以下站点下载:。
GROMACS可以在linux,unix,和Windows(新开发的)上使用摘要:在本教程中,你将研究一个从漏斗形蜘蛛的毒液中分离的毒素。
过去毒液毒素用来鉴定阳离子通道。
钙离子通道调节这种离子进入细胞。
神经信号受到神经细胞中离子平衡的高度控制。
人们认为象蜘蛛毒素这类毒液中暴露的带正电的残基会倾向于与细胞离子通道入口的带负电的残基结合。
本教程中的蜘蛛毒素中带正电的残基主要朝向肽链的一侧。
离子通道的堵塞导致了神经信号的中断,最终导致麻痹和死亡(通过呼吸判断)。
我们将使用显性溶剂动力学的方法研究这个小肽。
首先比较真空中和溶解的模型。
一个使用gromacs进行蛋白质模拟的入门教程

Lysozyme in WaterJustin LemkulDepartment of Biochemistry, Virginia TechThis example will guide a new user through the process of setting up a simulation system containing a protein (lysozyme) in a box of water, with ions. Each step will contain an explanation of input and output, using typical settings for general use.This tutorial assumes you are using a GROMACS version in the series.GROMACS TutorialStep One: Prepare the TopologyWe must download the protein structure file we will be working with. For this tutorial, we will utilize hen egg white lysozyme (PDB code 1AKI). Go to the RCSB website and download the PDB text for the crystal structure.Once you have downloaded the structure, you can visualize the structure using a viewing program such as VMD, Chimera, PyMOL, etc. Once you've had a look at the molecule, you are going to want to strip out the crystal waters. Use a plain text editor like vi, emacs (Linux/Mac), or Notepad (Windows). Do not use word processing software! Delete the lines corresponding to these molecules (residue "HOH" in the PDB file). Note that such a procedure is not universally appropriate ., the case of a bound active site water molecule). For our intentions here, we do not need crystal water.Always check your .pdb file for entries listed under the comment MISSING, as these entries indicate either atoms or whole residues that are not present in the crystal structure. Terminal regions may be absent, and may not present a problem for dynamics. Incomplete internal sequences or any amino acid residues that have missing atoms will cause pdb2gmx to fail. These missing atoms/residues must be modeled in using other software packages. Also note that pdb2gmx is not magic. It cannot generate topologies for arbitrary molecules, just the residues defined by the force field (in the *.rtp files - generally proteins, nucleic acids, and a very finite amount of cofactors, like NAD(H) and ATP).Now that the crystal waters are gone and we have verified that all the necessary atoms are present, the PDB file should contain only protein atoms, and is ready to be input into the first GROMACS tool,pdb2gmx. The purpose of pdb2gmx is to generate three files:1.The topology for the molecule.2. A position restraint file.3. A post-processed structure file.The topology by default) contains all the information necessary to define the molecule within a simulation. This information includes nonbonded parameters (atom types and charges) as well as bonded parameters (bonds, angles, and dihedrals). We will take a more detailed look at the topology once it has been generated.Execute pdb2gmx by issuing the following command:pdb2gmx -f-o-water spceThe structure will be processed by pdb2gmx, and you will be prompted to choose a force field:Select the Force Field:From '/usr/local/gromacs/share/gromacs/top':1: AMBER03 force field (Duan et al., J. Comp. Chem. 24, 1999-2012, 2003)2: AMBER94 force field (Cornell et al., JACS 117, 5179-5197, 1995)3: AMBER96 force field (Kollman et al., Acc. Chem. Res. 29, 461-469, 1996)4: AMBER99 force field (Wang et al., J. Comp. Chem. 21, 1049-1074, 2000)5: AMBER99SB force field (Hornak et al., Proteins 65, 712-725, 2006)6: AMBER99SB-ILDN force field (Lindorff-Larsen et al., Proteins 78, 1950-58, 2010)7: AMBERGS force field (Garcia & Sanbonmatsu, PNAS 99, 2782-2787, 2002)8: CHARMM27 all-atom force field (with CMAP) - version9: GROMOS96 43a1 force field10: GROMOS96 43a2 force field (improved alkane dihedrals)11: GROMOS96 45a3 force field (Schuler JCC 2001 22 1205)12: GROMOS96 53a5 force field (JCC 2004 vol 25 pag 1656)13: GROMOS96 53a6 force field (JCC 2004 vol 25 pag 1656)14: OPLS-AA/L all-atom force field (2001 aminoacid dihedrals)15: [DEPRECATED] Encad all-atom force field, using full solvent charges16: [DEPRECATED] Encad all-atom force field, using scaled-down vacuum charges 17: [DEPRECATED] Gromacs force field (see manual)18: [DEPRECATED] Gromacs force field with hydrogens for NMRThe force field will contain the information that will be written to the topology. This is a very important choice! You should always read thoroughly about each force field and decide which is most applicable to your situation. For this tutorial, we will use the all-atom OPLS force field, so type 14 at the command prompt, followed by 'Enter'.There are many other options that can be passed to pdb2gmx. Some are listed here:-ignh: Ignore H atoms in the PDB file; especially useful for NMR structures. Otherwise, if H atoms are present, they must be in the correct order and named exactly how GROMACS expects them to be.-ter: Interactively assign charge states for N- and C-termini.-inter: Interactively assign charge states for Glu, Asp, Lys, Arg, and His; assign disulfides to Cys.You have now generated three new files: , , and . is a GROMACS-formatted structurefile that contains all the atoms defined within the force field ., H atoms have been added to the amino acids in the protein). The file is the system topology (more on this in a minute). The file contains information used to restrain the positions of heavy atoms (more on this later).Step Two: Examine the TopologyLet's look at what is in the output topology . Again, using a plain text editor, inspect its contents. After several comment lines (preceded by ;), you will find the following:#include ""This line calls the parameters within the OPLS-AA force field. It is at the beginning of the file, indicating that all subsequent parameters are derived from this force field. The next important line is [ moleculetype ], below which you will find ; Name nrexclProtein_A 3The name "Protein_A" defines the molecule name, based on the fact that the protein was labeled as chain A in the PDB file. There are 3 exclusions for bonded neighbors. More information on exclusions can be found in the GROMACS manual; a discussion of this information is beyond the scope of this tutorial.The next section defines the [ atoms ] in the protein. The information is presented as columns:[ atoms ]; nr type resnr residue atom cgnr charge mass typeB chargeB massB; residue 1 LYS rtp LYSH q +1 opls_287 1 LYS N 1 ; qtot2 opls_290 1 LYS H1 1 ; qtot3 opls_290 1 LYS H2 1 ; qtot4 opls_290 1 LYS H3 1 ; qtot5 opls_293B 1 LYS CA 1 ; qtot6 opls_140 1 LYS HA 1 ; qtot 1The interpretation of this information is as follows:nr: Atom numbertype: Atom typeresnr: Amino acid residue numberresidue: The amino acid residue nameNote that this residue was "LYS" in the PDB file; the use of .rtp entry "LYSH"indicates that the residue is protonated (the predominant state at neutralpH).atom: Atom namecgnr: Charge group numberCharge groups define units of integer charge; they aid in speeding upcalculationscharge: Self-explanatoryThe "qtot" descriptor keeps a running count of the total charge on the moleculemass: Also self-explanatorytypeB, chargeB, massB: Used for free energy perturbation (not discussed here) Subsequent sections include [ bonds ], [ pairs ], [ angles ], and [ dihedrals ]. Some of these sections are self-explanatory (bonds, angles, and dihedrals). The parameters and function types associated with these sections are elaborated on in Chapter 5 of the GROMACS manual. Special 1-4 interactions are included under "pairs" (section of the GROMACS manual).The remainder of the file involves defining a few other useful/necessary topologies, starting with position restraints. The "" file was generated by pdb2gmx; it defines a force constant used to keep atoms in place during equilibration (more on this later).; Include Position restraint file#ifdef POSRES#include ""#endifThis ends the "Protein_A" moleculetype definition. The remainder of the topology file is dedicated to defining other molecules and providing system-level descriptions. The next moleculetype (by default) is the solvent, in this case SPC/E water. Other typical choices for water include SPC, TIP3P, and TIP4P. We chose this by passing "-water spce" to pdb2gmx. For an excellent summary of the many different water models, click here, but be aware that not all of these models are present within GROMACS.; Include water topology#include ""#ifdef POSRES_WATER; Position restraint for each water oxygen[ position_restraints ]; i funct fcx fcy fcz1 1 1000 1000 1000#endifAs you can see, water can also be position-restrained, using a force constant (kpr) of 1000 kJ mol-1nm-2.Ion parameters are included next:; Include generic topology for ions#include ""Finally come system-level definitions. The [ system ] directive gives the name of the system that will be written to output files during the simulation. The [ molecules ] directive lists all of the molecules in the system.[ system ]; NameLYSOZYME[ molecules ]; Compound #molsProtein_A 1A few key notes about the [ molecules ] directive:1.The order of the listed molecules must exactly match the order of themolecules in the coordinate (in this case, .gro) file.2.The names listed must match the [ moleculetype ] name for each species,not residue names or anything else.If you fail to satisfy these concrete requirements at any time, you will get fatal errors from grompp (discussed later) about mismatched names, molecules not being found, or a number of others.Now that we have examined the contents of a topology file, we can continue building our system.Step Three: Defining the Unit Cell & Adding SolventNow that you are familiar with the contents of the GROMACS topology, it is time to continue building our system. In this example, we are going to be simulating a simple aqueous system. It is possible to simulate proteins and other molecules in different solvents, provided that good parameters are available for all species involved. There are two steps to defining the box and filling it with solvent:1.Define the box dimensions using editconf.2.Fill the box with water using genbox.You are now presented with a choice as to how to treat the unit cell. For the purpose of this tutorial, we will use a simple cubic box as the unit cell. As you becomemore comfortable with periodic boundary conditions and box types, I highly recommend the rhombic dodecahedron, as its volume is ~71% of the cubic box of the same periodic distance, thus saving on the number of water molecules that need to be added to solvate the protein.Let's define the box using editconf:editconf-f-o -c -d -bt cubicThe above command centers the protein in the box (-c), and places it at least nm from the box edge (-d. The box type is defined as a cube (-bt cubic). The distance to the edge of the box is an important parameter. Since we will be using periodic boundary conditions, we must satisfy the minimum image convention. That is, a protein should never see its periodic image, otherwise the forces calculated will be spurious. Specifying a solute-box distance of nm will mean that there are at least nm between any two periodic images of a protein. This distance will be sufficient for just about any cutoff scheme commonly used in simulations.Now that we have defined a box, we can fill it with solvent (water). Solvation is accomplished using genbox:genbox -cp-cs-o -pThe configuration of the protein (-cp) is contained in the output of the previous editconf step, and the configuration of the solvent (-cs) is part of the standard GROMACS installation. We are using , which is a generic equilibrated 3-point solvent model. You can use as the solvent configuration for SPC, SPC/E, or TIP3P water, since they are all three-point water models. The output is called , and we tell genboxthe name of the topology file so it can be modified. Note the changes to the [ molecules ] directive of :[ molecules ]; Compound #molsProtein_A 1SOL 10832What genbox has done is keep track of how many water molecules it has added, which it then writes to your topology to reflect the changes that have been made. Note that if you use any other (non-water) solvent, genbox will not make these changes to your topology! Its compatibility with updating water molecules is hard-coded.Step Four: Adding IonsWe now have a solvated system that contains a charged protein. The output of pdb2gmx told us that the protein has a net charge of +8e (based on its amino acid composition). If you missed this information in the pdb2gmx output, look at the last line of your [ atoms ] directive in ; it should read (in part) "qtot 8." Since life does not exist at a net charge, we must add ions to our system.The tool for adding ions within GROMACS is called genion. What genion does is read through the topology and replace water molecules with the ions that the user specifies. The input is called a run input file, which has an extension of .tpr; this file is produced by the GROMACS tool grompp (GROMACS pre-processor), which will also be used later when we run our first simulation. What grompp does is process the coordinate file and topology (which describes the molecules) to generate anatomic-level input (.tpr). The .tpr file contains all the parameters for all of the atoms in the system.To produce a .tpr file with grompp, we will need an additional input file, with the extension .mdp (molecular dynamics parameter file); grompp will assemble the parameters specified in the .mdp file with the coordinates and topology information to generate a .tpr file.An .mdp file is normally used to run energy minimization or an MD simulation, but in this case is simply used to generate an atomic description of the system. An example .mdp file (the one we will use) can be downloaded here.In reality, the .mdp file used at this step can contain any legitimate combination of parameters. I typically use an energy-minimization script, because they are very basic and do not involve any complicated parameter combinations.Assemble your .tpr file with the following:grompp -f -c-p -oNow we have an atomic-level description of our system in the binary file . We will pass this file to genion:genion -s-o-p -pname NA-nname CL-nn 8When prompted, choose group 13 "SOL" for embedding ions. You do not want to replace parts of your protein with ions.In the genion command, we provide the structure/state file (-s) as input, generate a .gro file as output (-o), process the topology (-p) to reflect the removal of water molecules and addition of ions, define positive and negative ion names (-pname and-nname, respectively), and tell genion to add only the ions necessary to neutralize the net charge on the protein by adding the correct number of negative ions (-nn 8). You could also use genion to add a specified concentration of ions in addition to simply neutralizing the system by specifying the -neutral and -conc options in conjunction. Refer to the genion man page for information on how to use these options. The names of the ions specified with -pname and -nname were force field-specific in previous versions of GROMACS, but have been standardized as of version . The specified atom names are always the elemental symbol in all capital letters, along with the [ moleculetype ]. Residue names may or may not append the sign of the charge (+/-). Refer to for proper nomenclature if you encounter difficulties.Your [ molecules ] directive should now look like:[ molecules ]; Compound #molsProtein_A 1SOL 10824CL 8Step Five: Energy MinimizationThe solvated, electroneutral system is now assembled. Before we can begin dynamics, we must ensure that the system has no steric clashes or inappropriate geometry. The structure is relaxed through a process called energy minimization (EM).The process for EM is much like the addition of ions. We are once again going to use grompp to assemble the structure, topology, and simulation parameters into a binary input file (.tpr), but this time, instead of passing the .tpr to genion, we will run the energy minimization through the GROMACS MD engine, mdrun.Assemble the binary input using grompp using this input parameter file: grompp -f -c -p-oMake sure you have been updating your file when running genbox and genion, or else you will get lots of nasty error messages ("number of coordinates in coordinate file does not match topology," etc).We are now ready to invoke mdrun to carry out the EM:mdrun -v-deffnm emThe -v flag is for the impatient: it makes mdrun verbose, such that it prints its progress to the screen at every step. The -deffnm flag will define the file names of the input and output. So, if you did not name your grompp output "," you will have to explicitly specify its name with the mdrun -s flag. In our case, we will get the following files:: ASCII-text log file of the EM process: Binary energy file: Binary full-precision trajectory: Energy-minimized structureThere are two very important factors to evaluate to determine if EM was successful. The first is the potential energy (printed at the end of the EM process, even without-v). Epot should be negative, and (for a simple protein in water) on the order of 105-106, depending on the system size and number of water molecules. The second important feature is the maximum force, Fmax, the target for which was set in - "emtol = " - indicating a target Fmax of no greater than 1000 kJ mol-1nm-1. It is possible to arrive at a reasonable Epot with Fmax > emtol. If this happens, your system may not be stable enough for simulation. Evaluate why it may be happening, and perhaps change your minimization parameters (integrator, emstep, etc).Let's do a bit of analysis. The file contains all of the energy terms that GROMACS collects during EM. You can analyze any .edr file using the GROMACS tools g_energy: g_energy -f-oAt the prompt, type "10 0" to select Potential (10); zero (0) terminates input. You will be shown the average of Epot, and a file called "" will be written. To plot this data, you will need the Xmgrace plotting tool. The resulting plot should look something like this, demonstrating the nice, steady convergence of Epot:Now that our system is at an energy minimum, we can begin real dynamics.Step Six: EquilibrationEM ensured that we have a reasonable starting structure, in terms of geometry and solvent orientation. To begin real dynamics, we must equilibrate the solvent and ions around the protein. If we were to attempt unrestrained dynamics at this point, the system may collapse. The reason is that the solvent is mostly optimized within itself, and not necessarily with the solute. It needs to be brought to the temperaturewe wish to simulate and establish the proper orientation about the solute (the protein). After we arrive at the correct temperature (based on kinetic energies), we will apply pressure to the system until it reaches the proper density. Remember that file that pdb2gmx generated a long time ago? We're going to use it now. The purpose of is to apply a position restraining force on the heavy atoms of the protein (anything that is not a hydrogen). Movement is permitted, but only after overcoming a substantial energy penalty. The utility of position restraints is that they allow us to equilibrate our solvent around our protein, without the added variable of structural changes in the protein.Equilibration is often conducted in two phases. The first phase is conducted under an NVT ensemble (constant Number of particles, Volume, and Temperature). This ensemble is also referred to as "isothermal-isochoric" or "canonical." The timeframe for such a procedure is dependent upon the contents of the system, but in NVT, the temperature of the system should reach a plateau at the desired value. If the temperature has not yet stabilized, additional time will be required. Typically, 50-100 ps should suffice, and we will conduct a 100-ps NVT equilibration for this exercise. Depending on your machine, this may take a while (just over an hour on a dual-core MacBook). Get the .mdp file here.We will call grompp and mdrun just as we did at the EM step:grompp -f-c -p -omdrun -deffnm nvtA full explanation of the parameters used can be found in the GROMACS manual, in addition to the comments provided. Take note of a few parameters in the .mdp file:gen_vel = yes: Initiates velocity generation. Using different random seeds (gen_seed) gives different initial velocities, and thus multiple (different) simulations can be conducted from the same starting structure.tcoupl = V-rescale: The velocity rescaling thermostat is an improvement upon the Berendsen weak coupling method, which did not reproduce a correct kinetic ensemble.pcoupl = no: Pressure coupling is not applied.Let's analyze the temperature progression, again using g_energy:g_energy -fType "15 0" at the prompt to select the temperature of the system and exit. The resulting plot should look something like the following:From the plot, it is clear that the temperature of the system quickly reaches the target value (300 K), and remains stable over the remainder of the equilibration. For this system, a shorter equilibration period (on the order of 50 ps) may have been adequate.Step Seven: Equilibration, Part 2The previous step, NVT equilibration, stabilized the temperature of the system. Prior to data collection, we must also stabilize the pressure (and thus also the density) of the system. Equilibration of pressure is conducted under an NPT ensemble, wherein the Number of particles, Pressure, and Temperature are allconstant. The ensemble is also called the "isothermal-isobaric" ensemble, and most closely resembles experimental conditions.The .mdp file used for a 100-ps NPT equilibration can be found here. It is not drastically different from the parameter file used for NVT equilibration. Note the addition of the pressure coupling section, using the Parrinello-Rahman barostat.A few other changes:continuation = yes: We are continuing the simulation from the NVT equilibration phasegen_vel = no: Velocities are read from the trajectory (see below)We will call grompp and mdrun just as we did for NVT equilibration. Note that we are now including the -t flag to include the checkpoint file from the NVT equilibration; this file contains all the necessary state variables to continue our simulation. To conserve the velocities produced during NVT, we must include this file. The coordinate file (-c) is the final output of the NVT simulation.grompp -f -c-t-p -omdrun -deffnm nptLet's analyze the pressure progression, again using g_energy:g_energy -f -oType "16 0" at the prompt to select the pressure of the system and exit. The resulting plot should look something like the following:The pressure value fluctuates widely over the course of the 100-ps equilibration phase, but this behavior is not unexpected. The running average of these data are plotted as the red line in the plot. Over the course of the equilibration, the average value of the pressure is bar.Let's take a look at density as well, this time using g_energy and entering "22 0" at the prompt.g_energy -f -oAs with the pressure, the running average of the density is also plotted in red. The average value over the course of 100 ps is kg m-3, close to the experimental value of 1000 kg m-3. The parameters for the SPC/E water model closely replicate experimental values for water. The density values are very stable over time, indicating that the system is well-equilibrated now with respect to pressure and density.Step Eight: Production MDUpon completion of the two equilibration phases, the system is now well-equilibrated at the desired temperature and pressure. We are now ready to release the position restraints and run production MD for data collection. The process is just like we have seen before, as we will make use of the checkpoint file (which in this case now contains preserve pressure coupling information) to grompp. We will run a 1-ns MD simulation, the script for which can be found here.grompp -f -c -t -p -omdrun -deffnm md_0_1The mdrun step is definitely best run in parallel on a cluster, since it will take several hours to complete. The proper command for executing such a job would be: mpirun -np X mdrun_mpi -deffnm md_0_1where X indicates the number of processors to be used for the simulation. Near the end of the grompp output, you should have seen a line like:Estimate for the relative computational load of the PME mesh part:The estimate for PME load will dictate how many processors should be dedicated to the PME calculation, and how many for the PP calculations. Refer to the GROMACS 4 publication and the manual for details. For a cubic box, the optimal setup will have a PME load of (3:1 PP:PME - we're in luck!); for a dodecahedral box, the optimal PME load is (2:1 PP:PME). When executing mdrun, the program should automatically determine the best number of processors to assign for the PP and PME calculations. Thus, make sure you indicate an appropriate number of nodes for your calculation (the value of -np X), so that you can get the best performance. For this system, I achieved roughly 14 ns/day performance on 24 CPU's (18 PP, 6 PME).Step Nine: AnalysisNow that we have simulated our protein, we should run some analysis on the system. What types of data are important? This is an important question to ask before running the simulation, so you should have some ideas about the types of data you will wantto collect in your own systems. For this tutorial, a few basic tools will be introduced.The first is trjconv, which is used as a post-processing tool to strip out coordinates, correct for periodicity, or manually alter the trajectory (time units, frame frequency, etc). For this exercise, we will use trjconv to account for any periodicity in the system. The protein will diffuse through the unit cell, and may appear to "jump" across to the other side of the box. To account for such actions, issue the following:trjconv -s-f -o -pbc mol-ur compactSelect 0 ("System") for output. We will conduct all our analyses on this "corrected" trajectory. Let's look at structural stability first. GROMACS has a built-in utility for RMSD calculations called g_rms. To use g_rms, issue this command:g_rms -s-f-o -tu nsChoose 4 ("Backbone") for both the least squares fit and the group for RMSD calculation. The -tu flag will output the results in terms of ns, even though the trajectory was written in ps. This is done for clarity of the output (especially if you have a long simulation - 1e+06 ps does not look as nice as 100 ns). The output plot will show the RMSD relative to the structure present in the minimized, equilibrated system:If we wish to calculate RMSD relative to the crystal structure, we could issue the following:g_rms -s -f -o -tu nsThe result will be something like:Both plots show the RMSD levels off to ~ nm (1 Å), indicating that the structure is very stable. Subtle differences between the plots indicate that the structure at t = 0 ns is slightly different from this crystal structure. This is to be expected, since it has been energy-minimized, and because the position restraints are not 100% perfect, as discussed previously.The radius of gyration of a protein is a measure of its compactness. If a protein is stably folded, it will likely maintain a relatively steady value of Rg. If a protein unfolds, its Rg will change over time. Let's analyze the radius of gyration for lysozyme in our simulation:g_gyrate -s -f-oWe can see from the reasonably invariant Rg values that the protein remains very stable, in its compact (folded) form over the course of 1 ns at 300 K. This result is not unexpected, but illustrates an advanced capacity of GROMACS analysis that comes built-in.SummaryYou have now conducted a molecular dynamics simulation with GROMACS, and analyzed some of the results. This tutorial should not be viewed as comprehensive. There are many more types of simulations that one can conduct with GROMACS (free energy calculations, non-equilibrium MD, and normal modes analysis, just to name a few).。
gromacs rdf指令
gromacs rdf指令
在Gromacs中,可以使用gmx rdf指令来计算径向分布函数(Radial Distribution Function, RDF)。
RDF是一种描述分子中原子或分子间距离分布的统计量,可以用来分析分子间的相互作用和空间分布情况。
以下是使用gmx rdf指令计算RDF的步骤:
准备输入文件:首先需要准备一个包含分子坐标信息的输入文件,通常是一个包含多个分子位置的坐标文件。
坐标文件可以是xtc、pdb或其他格式,具体取决于模拟数据的来源。
运行gmx rdf指令:在命令行中输入gmx rdf指令,并指定输入文件、输出文件和索引文件等参数。
具体的命令格式如下:
bash
gmx rdf -f trajectory.xtc -s topol.tpr -o rdf.xvg -n index.ndx
其中,trajectory.xtc是包含分子轨迹信息的文件,topol.tpr是包含模拟参数和拓扑信息的文件,rdf.xvg是输出的RDF文件,index.ndx是包含需要计算RDF的分子或原子的索引文件。
3. 检查结果:完成计算后,可以在指定的输出文件中查看RDF的结果。
通常,RDF结果会以图形或表格的形式呈现,横坐标为距离,纵坐标为分布概率。
通过对RDF的分析,可以了解分子间的相互作用和空间分布情况。
需要注意的是,gmx rdf指令的具体参数和使用方法可能因Gromacs版本和具体应用而有所不同。
因此,在使用gmx rdf指令之前,建议仔细阅读Gromacs的官方文档或参考相关教程,以确保正确使用该指令。
gromacs rdf 例子
gromacs rdf 例子GROMACS RDF例子GROMACS(Groningen Machine for Chemical Simulations)是一种用于分子动力学模拟的软件套件,被广泛应用于生物物理、化学和材料科学等领域。
其中,RDF(Radial Distribution Function)是一种常用的分析工具,用于描述分子间距离的分布情况。
本文将介绍如何使用GROMACS中的RDF模块进行分子间距离分布的计算和分析。
一、GROMACS简介GROMACS是一个开源软件,适用于分子动力学模拟和分子模拟的相关计算。
它的优势在于其高效的算法和强大的功能,可模拟包括蛋白质、脂质体、碳纳米管等复杂体系的动力学过程。
GROMACS已成为生物物理学和化学研究的重要工具之一。
二、RDF的应用背景RDF是衡量分子间距离分布的函数,能够提供关于体系结构和性质的重要信息。
通过计算RDF,我们可以了解分子聚集态的特征、溶剂分子与溶质的相互作用以及溶质溶解度等。
因此,RDF在化学、物理和材料科学中具有广泛的应用。
三、使用GROMACS计算RDF在使用GROMACS计算RDF之前,我们需要准备好包含分子结构和坐标信息的输入文件。
一般来说,GROMACS允许使用多种文件格式,如.gro、.pdb和.top等。
在本例中,我们以.gro文件为例进行讲解。
1. 创建GROMACS输入文件首先,我们需要创建一个.gro格式的输入文件,该文件包含体系的分子结构和坐标信息。
可以使用文本编辑器编写输入文件,确保其符合.gro文件的格式要求。
2. 构建模拟系统使用GROMACS提供的工具,如editconf和genbox,可以对输入文件进行系统构建并添加溶剂分子。
通过设置合适的参数和选项,我们可以构建所需的模拟系统,并生成新的.gro文件。
3. 进行模拟运行使用GROMACS中的mdrun命令,可以对模拟系统进行能量最小化、平衡和动力学模拟等计算。
gromacs 原子间距离
gromacs 原子间距离
Gromacs是一款分子动力学模拟软件,用于模拟分子系统的动力学行为。
在Gromacs中,可以通过计算原子间的距离来研究分子之间的相互作用。
计算原子间距离的方法如下:
1. 打开Gromacs软件并加载分子系统。
2. 使用Gromacs命令行工具计算原子间距离。
例如,使用gmx distance命令可以计算两个分子之间的距离:
gmx distance -f traj.xtc -s topol.tpr -n index.ndx -select 'resname SOL and name O' -select 'resname PEP and name P1'
其中,traj.xtc和topol.tpr分别是MD过程中的轨迹和拓扑文件,index.ndx是原子索引文件,'resname SOL and name O'和
'resname PEP and name P1'分别是选择氢氧离子和肽链原子。
3. 输出文件中将包含每个原子对之间的距离。
4. 另一种计算原子间距离的方法是使用Gromacs内置的分析工具,如gmx rms等。
这些工具可以测量不同分子间的原子坐标之间的均方根偏差(RMSD),从而评估它们之间的结构相似性和差异性。
gromacs tutorial
GROMACS TutorialStep One: Prepare the Protein TopologyWe must download the protein structure file we will be working with. For this tutorial, we will utilize T4 lysozyme L99A/M102Q (PDB code 3HTB). Go to the RCSB website and download the PDB text for the crystal structure.Once you have downloaded the structure, you can visualize it using a viewing program such as VMD, Chimera, PyMOL, etc. Once you've had a look at the molecule, you are going to want to strip out the crystal waters, PO4, and BME. Note that such a procedure is not universally appropriate (i.e., the case of a bound active site water molecule). For our intentions here, we do not need crystal water or other ligands. We will instead focus on the ligand called "JZ4."If you want a cleaned version of the .pdb file to check your work, you can download it here. The problem we now face is that the JZ4 ligand is not a recognized entity in any of the force fields provided with GROMACS, so pdb2gmx will give a fatal error if you were try to pass this file through it. Topologies can only be assembled automatically if an entry for a building block is present in the .rtp file for the force field. Since this is not the case, we will prepare our system topology in two steps:1.Prepare the protein topology with pdb2gmx2.Prepare the ligand topology using external toolsSince we will be preparing these two topologies separately, we must move the protein and JZ4 into separate coordinate files. Save the JZ4 coordinates like so:grep JZ4 3HTB_clean.pdb > JZ4.pdbThen simply delete the JZ4 lines from 3HTB_clean.pdb. At this point, preparing the protein topology is trivial. There are no missing atoms or residues in the 3HTB structure, so simply run pdb2gmx:pdb2gmx -f 3HTB_clean.pdb -o 3HTB_processed.gro -water spcThe structure will be processed by pdb2gmx, and you will be prompted to choose a force field:Select the Force Field:From '/usr/local/gromacs/share/gromacs/top':1: AMBER03 force field (Duan et al., J. Comp. Chem. 24, 1999-2012, 2003)2: AMBER94 force field (Cornell et al., JACS 117, 5179-5197, 1995)3: AMBER96 force field (Kollman et al., Acc. Chem. Res. 29, 461-469, 1996)4: AMBER99 force field (Wang et al., J. Comp. Chem. 21, 1049-1074, 2000)5: AMBER99SB force field (Hornak et al., Proteins 65, 712-725, 2006)6: AMBER99SB-ILDN force field (Lindorff-Larsen et al., Proteins 78, 1950-58, 2010)7: AMBERGS force field (Garcia & Sanbonmatsu, PNAS 99, 2782-2787, 2002)8: CHARMM27 all-atom force field (with CMAP) - version 2.09: GROMOS96 43a1 force field10: GROMOS96 43a2 force field (improved alkane dihedrals)11: GROMOS96 45a3 force field (Schuler JCC 2001 22 1205)12: GROMOS96 53a5 force field (JCC 2004 vol 25 pag 1656)13: GROMOS96 53a6 force field (JCC 2004 vol 25 pag 1656)14: OPLS-AA/L all-atom force field (2001 aminoacid dihedrals)15: [DEPRECATED] Encad all-atom force field, using full solvent charges16: [DEPRECATED] Encad all-atom force field, using scaled-down vacuum charges17: [DEPRECATED] Gromacs force field (see manual)18: [DEPRECATED] Gromacs force field with hydrogens for NMRFor this tutorial, we will use the united-atom GROMOS96 43A1 force field, so type 9 at the command prompt, followed by 'Enter'Step Two: Prepare the Ligand TopologyFor this tutorial, we will use PRODRG to generate a starting topology for our ligand, JZ4. Go to the PRODRG site and upload your JZ4.pdb file. The server presents you with several options for how to treat your ligand:∙Chirality (yes/no): maintain chiral centers in the input molecule (yes), or reconstruct them (no). In our case, we have no chirality, so leave this option set to its default.∙Charges (full/reduced): full charges are for condensed-phase systems (43A1 force field);reduced are for "vacuum" simulations (43B1 force field). Use full charges for nearly allapplications. The accuracy of 43B1 is debatable, anyway.∙EM (yes/no): perform energy minimization (yes), or leave coordinates alone (no). In our case, we want to construct our protein-ligand complex from existing coordinates, so wedo not want PRODRG to minimize our molecule in vacuo. Choose "no" for this option.∙Force field (GROMOS96.1/GROMOS87): "GROMOS96.1" refers to the first version of the GROMOS96 force field, 43A1. "GROMOS87" refers to the (outdated!) GROMOS87 force field. Choose "GROMOS96.1" to get 43A1 parameters for our ligand.We will make use of two files that PRODRG gives us. Save the output of the field "The GROMOS87/GROMACS coordinate file (polar/aromatic hydrogens)" into a text file called"jz4.gro" and "The GROMACS topology" into a file called "drg.itp."Let's take a look at the [ atoms ] section of our JZ4 topology:[ atoms ]; nr type resnr resid atom cgnr charge mass1 CH3 1 JZ4 C4 1 0.000 15.03502 CH2 1 JZ4 C14 2 0.059 14.02703 CH2 1 JZ4 C13 2 0.060 14.02704 C 1 JZ4 C12 2 -0.041 12.01105 CR1 1 JZ4 C11 2 -0.026 12.01106 HC 1 JZ4 H11 2 0.006 1.00807 CR1 1 JZ4 C7 2 -0.026 12.01108 HC 1 JZ4 H7 2 0.006 1.00809 CR1 1 JZ4 C8 2 -0.026 12.011010 HC 1 JZ4 H8 2 0.007 1.008011 CR1 1 JZ4 C9 2 -0.026 12.011012 HC 1 JZ4 H9 2 0.007 1.008013 C 1 JZ4 C10 3 0.137 12.011014 OA 1 JZ4 OAB 3 -0.172 15.999415 H 1 JZ4 HAB 3 0.035 1.0080I immediately notice three things that are wrong with this topology:1.Charge group 2 encompasses the entire aromatic ring, nearly all of the atoms in thismolecule.2.Charges of equivalent functional groups (C-H) are not uniform. In some cases, H atomsare +0.006e, and in other cases they are +0.007e.3.Charges on these atoms bear no resemblance whatsoever to the expected chargesprescribed by the force field.So what do we do? If you read the paper linked above, you would know what I'm going to recommend already. Assign charges and charge groups from equivalent functional groups in a building block-style manner. For any unknown groups, perform the charge calculations suggested in the paper. Since JZ4 involves only functional groups found in proteins (hydrophobic chain, aromatic ring, and an alcohol), life is pretty easy. We can re-assign charges and charge groups from these moieties. I will not go into proper topology validation in this tutorial; it would be far too time-consuming. Suffice it to say that you must satisfy reviewers that the parameters applied to your molecule are reliable. They should reproduce some well-known observable, such as logP or ΔG hydr, as in the GROMOS96 literature. If you cannot satisfy these requirements for your own system, you may want to reconsider your choice of force field.I would construct a topology that has something like this for an [ atoms ] directive:[ atoms ]; nr type resnr resid atom cgnr charge mass1 CH3 1 JZ4 C4 1 0.000 15.03502 CH2 1 JZ4 C14 2 0.000 14.02703 CH2 1 JZ4 C13 2 0.000 14.02704 C 1 JZ4 C12 2 0.000 12.01105 CR1 1 JZ4 C11 3 -0.100 12.01106 HC 1 JZ4 H11 3 0.100 1.00807 CR1 1 JZ4 C7 4 -0.100 12.01108 HC 1 JZ4 H7 4 0.100 1.00809 CR1 1 JZ4 C8 5 -0.100 12.011010 HC 1 JZ4 H8 5 0.100 1.008011 CR1 1 JZ4 C9 6 -0.100 12.011012 HC 1 JZ4 H9 6 0.100 1.008013 C 1 JZ4 C10 7 0.150 12.011014 OA 1 JZ4 OAB 7 -0.548 15.999415 H 1 JZ4 HAB 7 0.398 1.0080Note that equivalent functional groups have equivalent charges, hydrophobic groups are completely uncharged, and the charge groups are of a sensible size (2-3 atoms). The other elements of the topology are sufficiently accurate. Bonded parameters assigned by PRODRG are generally reliable. We are now ready to construct the system topology and reconstruct our protein-ligand complex.Build the ComplexFrom pdb2gmx, we have a file called "conf.gro" that contains the processed, force field-compliant structure of our protein. We also have "jz4.gro" from PRODRG that has included all of the necessary H atoms. Simply copy the coordinate section of jz4.gro and paste it into conf.gro, below the last line of the protein atoms, and before the box vectors, like so:163ASN C 1691 0.621 -0.740 -0.126163ASN O1 1692 0.624 -0.616 -0.140163ASN O2 1693 0.683 -0.703 -0.0115.99500 5.19182 9.66100 0.00000 0.00000 -2.99750 0.00000 0.00000 0.00000becomes (added text in bold green)...163ASN C 1691 0.621 -0.740 -0.126163ASN O1 1692 0.624 -0.616 -0.140163ASN O2 1693 0.683 -0.703 -0.0111JZ4 C4 1 2.429 -2.412 -0.0071JZ4 C14 2 2.392 -2.470 -0.1391JZ4 C13 3 2.246 -2.441 -0.1811JZ4 C12 4 2.229 -2.519 -0.3081JZ4 C11 5 2.169 -2.646 -0.2951JZ4 H11 6 2.135 -2.683 -0.1991JZ4 C7 7 2.155 -2.721 -0.4111JZ4 H7 8 2.104 -2.817 -0.4071JZ4 C8 9 2.207 -2.675 -0.5331JZ4 H8 10 2.199 -2.738 -0.6211JZ4 C9 11 2.267 -2.551 -0.5451JZ4 H9 12 2.306 -2.516 -0.6401JZ4 C10 13 2.277 -2.473 -0.4301JZ4 OAB 14 2.341 -2.354 -0.4341JZ4 HAB 15 2.369 -2.334 -0.5285.99500 5.19182 9.66100 0.00000 0.00000 -2.99750 0.00000 0.00000 0.00000Since we have added 15 more atoms into the .gro file, increment the second line of conf.gro to reflect this change. There should be 1708 atoms in the coordinate file now.Build the TopologyIncluding the parameters for the JZ4 ligand in the system topology is very easy. Just insert a line that says #include "drg.itp" into topol.top after the position restraint file is included. The inclusion of position restraints indicates the end of the "Protein" moleculetype section.; Include Position restraint file#ifdef POSRES#include "posre.itp"#endif; Include water topology#include "gromos43a1.ff/spc.itp"becomes...; Include Position restraint file#ifdef POSRES#include "posre.itp"#endif; Include ligand topology#include "drg.itp"; Include water topology#include "gromos43a1.ff/spc.itp"The last adjustment to be made is in the [ molecules ] directive. To account for the fact that there is a new molecule in conf.gro, we have to add it here, like so:[ molecules ]; Compound #molsProtein_chain_A 1JZ4 1The topology and coordinate file are now in agreement with respect to the contents of the system. Step Three: Defining the Unit Cell & Adding SolventAt this point, the workflow is just like any other MD simulation. We will define the unit cell andfill it with water.editconf -f conf.gro -o newbox.gro -bt dodecahedron -d 1.0genbox -cp newbox.gro -cs spc216.gro -p topol.top -o solv.groStep Four: Adding IonsWe now have a solvated system that contains a charged protein. The output of pdb2gmx told us that the protein has a net charge of +6e (based on its amino acid composition). If you missed this information in the pdb2gmx output, look at the last line of your [ atoms ] directive in topol.top; it should read (in part) qtot。
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The vast majority of error messages generated by GROMACS are descriptive, informing the user where the exact error lies. Some errors that arise are noted below, along with more details on what the issue is and how to solve it.GeneralCannot allocate memoryThe executed script has attempted to assign memory to be used in the calculation, but is unable to due to insufficient memory.Possible solutions are:install more memory in the computer.use a computer with more memory.reduce the scope of the number of atoms selected for analysis.reduce the length of trajectory file being processed.in some cases confusion between Ångström and nm may lead to users wanting to generate a water box that is 103 times larger than what they think it is (e.g. genbox).The user should bear in mind that the cost in time and/or memory for various activities will scale with the number of atoms/groups/residues N or the simulation length T as order N, N log N, or N2 (or maybe worse!) and the same for T, depending on the type of activity. If it takes a long time, have a think about what you are doing, and the underlying algorithm (see the manual, man page, or use the -h flag for the utility), and see if there's something sensible you can do that has better scaling properties.Blowing Up"Blowing up" is a highly technical term used to describe a common sort of simulation failure. In brief, it describes a failure typically due to an unacceptably large force that ends up resulting in a failure of the integrator.To give a bit more background, it's important to remember that molecular dynamics numerically integrates Newton's equations of motion by taking small, discrete timesteps, and using these timesteps to determine new velocities and positions from velocities, positions, and forces at the previous timestep. If forces become too large at one timestep, this can result in extremely large changes in velocity/position when going to the next timestep. Typically, this will result in a cascade of errors: one atom experiences a very large force one timestep, and thus goes shooting across the system in an uncontrolled way in the next timestep, overshooting its preferred location or landing on top of another atom or something similar. This then results in even larger forces the next timestep, more uncontrolled motions, and so on. Ultimately, this will cause the simulation package to crash in some way, since it can't cope with such situations. In simulations with constraints, the first symptom of this will usually be some LINCS or SHAKE warning or error -- not because the constraints are the source of the problem, but just because they're the first thing to crash.Because blowing up is due, typically, to forces that are too large for a particular timestep size, there are a couple basic solutions:Make sure the forces don't get that large, oruse a smaller timestep.Better system preparation can help with 1, if the problems are occurring near the beginning of a simulation.pdb2gmxResidue 'XXX' not found in residue topology databaseThis means that the force field you have selected while running pdb2gmx does not have an entry in the residue database for XXX. The residue database entry is necessary both for stand-alone molecules (e.g. formaldehyde) or a peptide (standard or non-standard). This entry defines the atom types, connectivity, bonded and non-bonded interaction types for the residue and is necessary to use pdb2gmx to build a .top file. A residue database entry may be missing simply because the database does not contain the residue at all, or because the name is different.For new users, this error appears because they are running pdb2gmx blindly on a PDB file they have without consideration of the contents of the file. A force field is not something that is magical, it can only deal with molecules or residues (building blocks) that are provided in the residue database or included otherwise.If there is not an entry for this residue in the database, then the options for obtaining the force field parameters are:see if there is a different name being used for the residue in the residue database and rename as appropriate,parameterize the residue / molecule yourself,find a topology file for the residue / molecule and include as a .itp file,use another force field which has parameters available for this,search the primary literature for publications for parameters for the residue that are consistent with the force field that is being used.Long bonds and/or missing atomsThere are probably atoms missing earlier in the .pdb file which makes pdb2gmx go crazy. Check the screen output of pdb2gmx, as it will tell you which one is missing. Then add the atoms in your pdb file, energy minimization will put them in the right place, or fix the side chain with e.g. the WhatIF program.gromppFound a second defaults directive fileThis is caused by the [defaults] directive appearing more than once in the topology or force field files for the system - it can only appear once. A typical cause of this is a second defaults being set in an included topology file, .itp, that has been sourced from somewhere else. For specifications on how the topology files work, see GROMACS Manual, Section 5.6.[ defaults ]; nbfunc comb-rule gen-pairs fudgeLJ fudgeQQ1 1 no 1.0 1.0One solution is to simply comment out (or delete) the lines of code out in the file where it is included for the second time i.e.,;[ defaults ]; nbfunc comb-rule gen-pairs fudgeLJ fudgeQQ;1 1 no 1.0 1.0A better approach to finding a solution is to re-think what you are doing. The [defaults] directive should only be appearing at the top of your .top file where you choose the force field. If you are trying to mix two force fields, then you are asking for trouble. If a molecule .itp file tries to choose a force field, then whoever produced it is asking for trouble.Invalid order for directive defaultsThis is a result of defaults being set in the topology or force field files more than once, the [defaults] section can only appear once, and is typically in the force field files. For solution see Errors#Found a second defaults directive file.[edit] System has non-zero total chargeNotifies you that counter-ions may be required for the system to neutralize the charge or there may be problems with the topology.If the charge is a non-integer, then this indicates that there is a problem with the topology. If pdb2gmx has been used, then look at the right hand comment column of the atom listing, which lists the cumulative charge. This should be an integer after every residue (and/or charge group where applicable). This will assist in finding the residue where things start departing from integer values. Also check the capping groups that have been used.If the charge is already close to an integer, then the difference is caused by rounding errors and not a major problem.Note for PME users: It is possible to use a uniform neutralizing background charge in PME to compensate for a system with a net background charge. There is probably nothing wrong with this in principle, because the uniform charge will not perturb the dynamics. Nevertheless, it is standard practice to actually add counter-ions to make the system net neutral.Incorrect number of parametersLook at the topology file for the system. You've not given enough parameters for one of the bonded definitions.Sometimes this also occurs if you've mangled the Include File Mechanism or the topology file format (see: GROMACS Manual Chapter 5) when you edited the file.Number of coordinates in coordinate file does not match topologyThis is pointing out that, based on the information provided in the topology file, .top, the total number of atoms or particles within the system does not match exactly with what is provided within the coordinate file, .gro.The most common reason for this is simply that the user has failed to update the topology file after solvating or adding additional molecules to the system, or made a typographical error in the number of one of the molecules within the system. Ensure that the end of the topology file being used contains something like the following, that matches exactly with what is within the coordinate file being used:[ molecules ]; Compound #molProtein 1NA+ 10SOL 10189In a case when grompp can't find any any atoms in the topology file at all (number of coordinates in coordinate file (conf.gro, 648) does not match topology (topol.top, 0)) and that error is preceded by warnings like:calling /lib/cpp...sh: /lib/cpp: No such file or directorycpp exit code: 32512Tried to execute: '/lib/cpp -I/usr/local/gromacs-...The '/lib/cpp' command is defined in the .mdp filethen your system's cpp is not being found or run correctly. One reason might also be that the cpp variable is not properly set in the .mdp file.This error can also occur when the .mdp file has been edited under Windows, and your cpp is intolerant of the mismatch between Windows and Unix end-of-line characters. If it is possible that you have done this, try running your .mdp file through the standard Linux dos2unix utility.Fatal error: No such moleculetype XXXEach type of molecule in your [ molecules ] section of your .top file must have a corresponding [ moleculetype ]section defined previously, either in the .top file or an included .itp file. See GROMACS Manual section 5.6.1 for the syntax description. Your .top file doesn't have such a definition for the indicated molecule. Check the contents of the relevant files, and pay attention to the status of #define variables.T-Coupling group XXX has fewer than 10% of the atomsIt is possible to specify separate thermostats, temperature coupling groups for each and every molecule type within a simulation. This is a particular bad practice used by many new users to MDS. However, this is a bad idea to do this as you can introduce errors and artifacts that are hard to predict. In most cases it is best to have all molecules within a single group, using system. If separate coupling groups are required, then ensure that they are of "sufficient size" and combine molecule types that appear together within the simulation. For example, for a protein in water with counter ions, could use Protein and Non-Protein.The cut-off length is longer than half the shortest box vector or longer than the smallest box diagonal element. Increase the box size or decrease rlistThis error is generated in the cases as noted within the message. The dimensions of the box is such that an atom will interact with itself (since using PBC). Which is total unrealistic and will introduce some serious artefacts. The solution is again what is noted within the message, either increase the size of the simulation box so that it is at an absolute minimum twice the cut-off length in all three dimensions (take care here if are using a constant pressure simulation as the box dimension will change and may go over the threshold only just larger) or decrease the cut-off length (depending on the force field utilised, this may not be an option).mdrunStepsize too small, or no change in energy. Converged to machine precision, but not to the requested precisionThis is not an error as such. It is simply informing you that during the energy minimisation process it reached the limit possible to minimise the structure with your current parameters. It does not mean that the system has not been minimised fully, but in some situations that may be the case. If the system has a significant amount of water present, then a Epot of the order of -105 to -106 is typically a reasonable value for almost all cases, e.g. starting a MDS from the resulting structure. Only for special purposes, such as normal mode analysis type of calculations, it may be required to minimise further.Further minimisation may be achieved by using a different energy minimisation method or moving to double precision using version of GROMACS configured for this.LINCS warningsSometimes, when running dynamics, mdrun may suddenly stop (perhaps after writing several pdb files) after a series of LINCS warnings are written to the log file. LINCS is a constraint algorithm often used to constrain bond lengths. When a system is blowing up (i.e. exploding due to diverging forces), the constraints are usually the first thing to fail. This doesn't necessarily mean you need to troubleshoot LINCS. Usually it is a sign of something more fundamental wrong (physically unrealistic) with your system. Perhaps you didn't minimize well enough, have a bad starting structure/steric clashes, are using too large a timestep, or are doing particle insertion in free energy calculations without using soft core. This can also be caused by a single water molecule that is isolated from the rest of water molecules, somewhere within the system.1-4 interaction not within cut-offSome of your atoms have moved so two atoms separated by three bonds are separated by more than the cut-off distance. This is BAD. Most important: do not increase your cut-off! This error actually indicates that the atoms have very large velocities, which usually means that (part of) your molecule(s) is (are) blowing up. If you are using LINCS for constraints, you probably also already got a number of LINCS warnings. When using SHAKE this will give rise to a SHAKE error, which halts your simulation before the "1-4 not within cutoff" error can appear.There can be a number of reasons for the large velocities in your system. If it happens at the beginning of the simulation, your system might be not equilibrated well enough (e.g. it contains some bad contacts). Try a(nother) round of energy minimization to fix this. Otherwise you might have a very high temperature, and/or a too large timestep. Experiment with these parameters till the error stops occurring. If this doesn't help, check your topology!Simulation running but no outputNot an error as such, but mdrun appears to be chewing up CPU time but nothing is being written to the output files. There are a number of reasons why this may occur:Your simulation might simply be (very) slow, and since output is buffered, it can take quite some time for output to appear in the respective files. If you are trying to fix some problems and you want to get output as fast as possible, you can set the environment variable LOG_BUFS to 0 byusing setenv LOG_BUFS 0, this disables output buffering. Use unsetenv LOG_BUFS to turn buffering on again.Something might be going wrong in your simulation, causing e.g. not-a-numbers (NAN) to be generated (these are the result of e.g. division by zero). Subsequent calculations with NAN's will generate floating point exceptions which slow everything down by orders of magnitude. On a SGI system this will usually result in a large percentage of CPU time being devoted to 'system' (check it with osview, or for a multi-processor machine with top and osview).You might have all nst* parameters (see your .mdp file) set to 0, this will suppress most output. Your disk might be full. Eventually this will lead to mdrun crashing, but since output is buffered, it might take a while for mdrun to realize it can't write.You are runnning an executable compiled with MPI support (e.g. LAM) and did not start the LAM daemon (lamboot). See LAM documentation.Can not do Conjugate Gradients with constraintsThis means you can't do energy minimization with the conjugate gradient algorithm if your topology has constraints defined - see here.Pressure scaling more than 1%This error tends to be generated when the simulation box begins to oscillate (due to large pressures and / or small coupling constants), the system starts to resonant and then crashes. This can mean that the system isn't equilibrated sufficiently before using pressure coupling. Therefore, better / more equilibration may fix the issue.It is recommended to obseve the system trajectory prior and during the crash. This may indicate if a particular part of the system / structure is the problem.In some cases, if the system has been equilibrated sufficiently, this error can mean that the pressure coupling constant, tau p, is too small (particularly when using Berendsen). Increasing that value with slow down the response to pressure changes and may stop the resonance from occuring. This error can also appear when using a timestep that is too large, eg 5 fs.。