1 ;
2 ; STANDARD MD INPUT OPTIONS FOR MARTINI 2.x
3 ; Updated 02 feb 2013 by DdJ
4 ;
5 ; for use with GROMACS 4.5/4.6
6 ;
7
8 title = Martini
9
10
11 ; TIMESTEP IN MARTINI
12 ; Most simulations are numerically stable
13 ; with dt=40 fs, some (especially rings and polarizable water) require 20-30 fs.
14 ; Note that time steps of 40 fs and larger may create local heating or
15 ; cooling in your system. Although the use of a heat bath will globally
16 ; remove this effect, it is advised to check consistency of
17 ; your results for somewhat smaller time steps in the range 20-30 fs.
18 ; Time steps exceeding 40 fs should not be used; time steps smaller
19 ; than 20 fs are also not required unless specifically stated in the itp file.
20 ; 时间步长最好不超过40fs 例如本文件中用的就是40fs 0.04ps=40fs
21
22 integrator = steep ; Run steepest descent energy minimization algorithm
23 dt = 0.04
24 nsteps = 50000 ; Number of steep steps to run
25 nstcomm = 100
26 comm-grps =
27
28
29 ; OUTPUT CONTROL OPTIONS =
30 ; Output frequency for coords (x), velocities (v) and forces (f) =
31
32 nstxout = 5000
33 nstvout = 5000
34 nstfout = 0
35 nstlog = 1000 ; Output frequency for energies to log file
36 nstenergy = 100 ; Output frequency for energies to energy file
37 nstxout-compressed = 1000 ; Output frequency for .xtc file 向xtc文件中输出的频率
38 compressed-x-precision = 100
39 xtc-grps =
40 energygrps = System
41
42
43 ; NEIGHBOURLIST and MARTINI
44 ; Due to the use of shifted potentials, the noise generated 由于使用了漂移势,粒子进入/离开近邻列表带来的影响不是特别大
45 ; from particles leaving/entering the neighbour list is not so large, 即使时间步长很长的时候
46 ; even when large time steps are being used. In practice, once every 在实践中,每十步更新一次就很不错,近邻列表的截断距离与非键合力的
47 ; ten steps works fine with a neighborlist cutoff that is equal to the 截断距离取为相等,1.2nm
48 ; non-bonded cutoff (1.2 nm). However, to improve energy conservation 但是 为了提高能量的稳定性,避免局部的加热、冷却,有时候会增加更新频率
49 ; or to avoid local heating/cooling, you may increase the update frequency 或者扩大截断距离到1.4nm
50 ; and/or enlarge the neighbourlist cut-off (to 1.4 nm). The latter option 扩大到1.4nm是一个很好的选择,既可以较少计算又可以提高能量稳定性
51 ; is computationally less expensive and leads to improved energy conservation
52
53 nstlist = 10
54 ns_type = grid
55 pbc = xyz
56 rlist = 1.2
57
58 ; MARTINI and NONBONDED
59 ; Standard cut-off schemes are used for the non-bonded interactions
60 ; in the Martini model: LJ interactions are shifted to zero in the
61 ; range 0.9-1.2 nm, and electrostatic interactions in the range 0.0-1.2 nm.
62 ; The treatment of the non-bonded cut-offs is considered to be part of
63 ; the force field parameterization, so we recommend not to touch these
64 ; values as they will alter the overall balance of the force field.
65 ; In principle you can include long range electrostatics through the use
66 ; of PME, which could be more realistic in certain applications
67 ; Please realize that electrostatic interactions in the Martini model are
68 ; not considered to be very accurate to begin with, especially as the
69 ; screening in the system is set to be uniform across the system with
70 ; a screening constant of 15. When using PME, please make sure your
71 ; system properties are still reasonable.
72 ;
73 ; With the polarizable water model, the relative electrostatic screening
74 ; (epsilon_r) should have a value of 2.5, representative of a low-dielectric
75 ; apolar solvent. The polarizable water itself will perform the explicit screening
76 ; in aqueous environment. In this case, the use of PME is more realistic.
77 ;
78 ; For use in combination with the Verlet-pairlist algorithm implemented
79 ; in Gromacs 4.6 a straight cutoff in combination with the potential
80 ; modifiers can be used. Although this will change the potential shape,
81 ; preliminary results indicate that forcefield properties do not change a lot
82 ; when the LJ cutoff is reduced to 1.1 nm. Be sure to test the effects for
83 ; your particular system. The advantage is a gain of speed of 50-100%.
84
85 coulombtype = cut-off ;Reaction_field (for use with Verlet-pairlist) ;PME (especially with polarizable water)
86 rcoulomb_switch = 0.0
87 rcoulomb = 1.2
88 epsilon_r = 15 ; 2.5 (with polarizable water)
89 vdw_type = cut-off ;cutoff (for use with Verlet-pairlist)
90 rvdw_switch = 0.9
91 rvdw = 1.2 ;1.1 (for use with Verlet-pairlist)
92
93 ;cutoff-scheme = verlet
94 ;coulomb-modifier = Potential-shift-Verlet
95 ;vdw-modifier = Potential-shift-Verlet
96 ;epsilon_rf = 0 ; epsilon_rf = 0 really means epsilon_rf = infinity
97 ;verlet-buffer-tolerance = 0.005
98
99
100 ; MARTINI and CONSTRAINTS
101 ; for ring systems and stiff bonds constraints are defined
102 ; which are best handled using Lincs.
103
104 constraints = none
105 constraint_algorithm = Lincs
106 continuation = no
107 lincs_order = 4
108 lincs_warnangle = 30

martini-能量最小化参数(mdp文件)的更多相关文章

  1. 能量最小化初探,graphcuts能量最小化调用

    1.相对于能量函数来说,能量最小化的办法都有哪些? 梯度下降 模拟退火 图割 2.这个 跟最优化问题的求解,有什么联系跟区别呢? 基本上差不多,其实就是求出来了函数的一个最小值,我们看问题的时候不妨把 ...

  2. mdp文件-Chapter1-MINIM.mdp

    mdp文件是能量最小化,NVT模拟,NPT模拟与MD模拟的必须文件. mdp文件的详细解释可以参考官方文档http://manual.gromacs.org/online/mdp_opt.html 接 ...

  3. mdp文件-Chapter2-NVT.mdp

    这是mdp文件系列的第二篇,介绍nvt平衡中要使用的mdp文件. 先上代码,nvt.mdp 1 title = OPLS Lysozyme NVT equilibration 2 define = - ...

  4. martini-md参数(mdp文件)

    输入参数:一个典型的mdp文件 1 ; 2 ; STANDARD MD INPUT OPTIONS FOR MARTINI 2.x 3 ; Updated 02 feb 2013 by DdJ 4 ; ...

  5. (MTT)连续能量函数最小化方法

    (MTT)连续能量函数最小化方法 Multitarget tracking Multi-object tracking 连续能量函数 读"A.Milan,S. Roth, K. Schind ...

  6. 实现iOS图片等资源文件的热更新化(四): 一个最小化的补丁更新逻辑

    简介 以前写过一个补丁更新的文章,此处会做一个更精简的最小化实现,以便于集成.为了使逻辑具有通用性,将剥离对AFNetworking和ReativeCocoa的依赖.原来的文章,可以先看这里: htt ...

  7. 使用fdopen对python进程产生的文件进行权限最小化配置

    需求背景 用python进行文件的创建和读写操作时,我们很少关注所创建的文件的权限配置.对于一些安全性较高的系统,如果我们创建的文件权限其他用户或者同一用户组里的其他用户有可读权限的话,有可能导致不必 ...

  8. (WinForm)文件夹状态监控,最小化到托盘,开机自启动

    原文 (WinForm)文件夹状态监控,最小化到托盘,开机自启动 . 文件夾監控(監測文件夾中的文件動態): //MSDN上的例子 public class Watcher { public stat ...

  9. CentOS 6.x 最小化安装推荐安装的依赖包和修改内核参数

    CentOS 6.x 最小化安装推荐安装的依赖包 我在日常工作中,新建的xenserver的虚拟机,CentOS release 6.9 (Final)操作系统,采用最小化安装,后续很多操作需要各种依 ...

随机推荐

  1. Python数据类型--元组(tuple)

    元组与列表非常相似,最大区别在于: (1)元组是不可修改的,定义之后就"固定"了. (2)元组在形式上是用()这样的圆括号括起来 (3)元组不能插入或删除元素 注:元素可修改与不可 ...

  2. MeteoInfoLab脚本示例:MERRA HDF数据

    MERRA是NOAA的一种再分析资料,HDF数据遵循COARDS协议,读取比较简单.脚本程序: #Add data file folder = 'D:/Temp/hdf/' fns = 'MERRA3 ...

  3. BASH让标准输出和错误输出颜色不同

    shell中运行的程序输出有标准输出(stdout)和错误输出(stderr)两种.当在终端中运行一个进程时,默认是stdout和stderr混在一起的,需要区分只能去读内容,人眼不容易快速区分. 如 ...

  4. 【Luogu】P3369 【模板】普通平衡树(树状数组)

    P3369 [模板]普通平衡树(树状数组) 一.树状数组 树状数组(Binary Indexed Tree(B.I.T), Fenwick Tree)是一个查询和修改复杂度都为log(n)的数据结构. ...

  5. DateDiff() 方法语法 T-SQL语法

    表达式DateDiff(timeinterval,date1,date2 [, firstdayofweek [, firstweekofyear]]) 允许数据类型: timeinterval 表示 ...

  6. ABAP分享十: 文件的上传 方法一

    前提条件:PARAMETERS P_files TYPE RLGRAP-FILENAME. AT SELECTION-SCREEN ON VALUE-REQUEST FOR P_files.一.文件的 ...

  7. matplotlib作图 归零编码、曼切斯特编码、非归零编码、差分曼切斯特编码

    效果图 代码 import matplotlib.pyplot as plt config = { 'color': 'black', 'lw': 5, } def init(): plt.figur ...

  8. 面试官:说说CountDownLatch,CyclicBarrier,Semaphore的原理?

    CountDownLatch CountDownLatch适用于在多线程的场景需要等待所有子线程全部执行完毕之后再做操作的场景. 举个例子,早上部门开会,有人在上厕所,这时候需要等待所有人从厕所回来之 ...

  9. 基于ECS搭建云上博客

    场景介绍 本文为您介绍如何基于ECS搭建云上博客. 背景知识 本场景主要涉及以下云产品和服务: 云服务器ECS 云服务器(Elastic Compute Service,简称ECS)是阿里云提供的性能 ...

  10. 抽空学学KVM(七):虚拟机快照和克隆

    前几天学写了KVM中qume-info命令的使用,今天学学在虚拟化里面用处广泛的快照和克隆功能,snapshot和virt-clone.对于snapshot命令的使用其实很简单.进入virsh界面以后 ...