1. Prepare Input File

$ tleap

>source leaprc.protein.ff14SB

----- Source: /home/wangq/Programs/amber16/dat/leap/cmd/leaprc.protein.ff14SB
----- Source of /home/wangq/Programs/amber16/dat/leap/cmd/leaprc.protein.ff14SB done
Log file: ./leap.log
Loading parameters: /home/wangq/Programs/amber16/dat/leap/parm/parm10.dat
Reading title:
PARM99 + frcmod.ff99SB + frcmod.parmbsc0 + OL3 for RNA
Loading parameters: /home/wangq/Programs/amber16/dat/leap/parm/frcmod.ff14SB
Reading force field modification type file (frcmod)
Reading title:
ff14SB protein backbone and sidechain parameters
Loading library: /home/wangq/Programs/amber16/dat/leap/lib/amino12.lib
Loading library: /home/wangq/Programs/amber16/dat/leap/lib/aminoct12.lib
Loading library: /home/wangq/Programs/amber16/dat/leap/lib/aminont12.lib

> loadoff mg.off

Loading library: ./mg.off

> mol = loadpdb wt1mg.pdb

Loading PDB file: ./wt1mg.pdb
Added missing heavy atom: .R<CGLN >.A<OXT >
total atoms in file:
Leap added missing atoms according to residue templates:
Heavy
H / lone pairs

> source leaprc.water.tip3p

----- Source: /home/wangq/Programs/amber16/dat/leap/cmd/leaprc.water.tip3p
----- Source of /home/wangq/Programs/amber16/dat/leap/cmd/leaprc.water.tip3p done
Loading library: /home/wangq/Programs/amber16/dat/leap/lib/atomic_ions.lib
Loading library: /home/wangq/Programs/amber16/dat/leap/lib/solvents.lib
Loading parameters: /home/wangq/Programs/amber16/dat/leap/parm/frcmod.ionsjc_tip3p
Reading force field modification type file (frcmod)
Reading title:
Monovalent ion parameters for Ewald and TIP3P water from Joung & Cheatham JPCB ()
Loading parameters: /home/wangq/Programs/amber16/dat/leap/parm/frcmod.ions234lm_126_tip3p
Reading force field modification type file (frcmod)
Reading title:
Li/Merz ion parameters of divalent to tetravalent ions for TIP3P water model (- normal usage set)

> solvateBox mol TIP3P 10 

  Solute vdw bounding box:              49.995 53.684 37.063
Total bounding box for atom centers: 69.995 73.684 57.063
Solvent unit box: 18.774 18.774 18.774
Total vdw box size: 73.439 76.851 60.149 angstroms.
Volume: 339472.593 A^
Total mass 162173.797 amu, Density 0.793 g/cc
Added residues.

> charge mol

Total unperturbed charge:   2.000000
Total perturbed charge: 2.000000

> addIons2 mol Cl- 0

 Cl- ions required to neutralize.
Adding counter ions to "mol" using 1A grid
Grid extends from solute vdw + 2.51 to 8.51
Resolution: 1.00 Angstrom.
grid build: sec
Calculating grid charges
charges: sec
Placed Cl- in mol at (0.54, -17.17, 29.94).
Placed Cl- in mol at (34.54, -37.17, -19.06). Done adding ions.

  addions: simply draw a grid around the solute and places ions at grid points where the energies are lowest.  This approach will ignore water molecules in locating where to place the ion and if the chosen location overlaps a water molecule, the water is deleted and replaced with the ion.

  addions2: it treats solvent molecules the same as solute.

 > saveAmberParm mol wt1mg.parm7 wt1mg.crd

Checking Unit.
Building topology.
Building atom parameters.
Building bond parameters.
Building angle parameters.
Building proper torsion parameters.
Building improper torsion parameters.
total improper torsions applied
Building H-Bond parameters.
Incorporating Non-Bonded adjustments.
Not Marking per-residue atom chain types.
Marking per-residue atom chain types.
(Residues lacking connect0/connect1 -
these don't have chain types marked: res total affected CGLN
NCYS
WAT
)
(no restraints)

2. Energy Minimization

$ ambpdb -p wt1mg.parm7 -c wt1mg.crd > wt1mg_solvated.pdb

min.in

Minimization with Cartesian restraints for the solute
&cntrl
imin=, maxcyc=,
ntpr=,
ntr=,
&end
Group input for restrained atoms
100.0
RES
END
END

$ cp wt1mg.crd wt1mg.rst

$ sander -O -i min.in -p wt1mg.parm7 -c wt1mg.crd -r wt1mg_min.rst -o wt1mg_min_water.out -ref wt1mg.rst

min_all.in

Minimization of the entire molecular system
&cntrl
imin=, maxcyc=,
ntpr=,
&end

$ sander -O -i min_all.in -p wt1mg.parm7 -c wt1mg_min_water.rst -r wt1mg_min_all.rst -o wt1mg_min_all.out

3. Equilibration

eq_v.in

Heating up the system equilibration stage
&cntrl
nstlim=, dt=0.002, ntx=, irest=, ntpr=, ntwr=, ntwx=,
tempi =100.0, temp0=300.0, ntt=, tautp=2.0, ig=,
ntb=, ntp=,
ntc=, ntf=,
nrespa=,
&end

$ sander -O -i eq_v.in -p wt1mg.parm7 -c wt1mg_min_all.rst -r wt1mg_eq_v.rst -x wt1mg_eq_v.crd -o wt1mg_eq_v.out

$ grep TEMP wt1mg_eq_v.out | awk '{print $6, $9}' > temp.dat

eq_pt.in

Constant pressure constant temperature equilibration stage
&cntrl
nstlim=, dt=0.002, ntx=, irest=, ntpr=, ntwr=, ntwx=,
temp0=300.0, ntt=, tautp=2.0,
ntb=, ntp=,
ntc=, ntf=,
nrespa=,
&end

$ sander -O -i eq_pt.in -p wt1mg.parm7 -c wt1mg_eq_v.rst -r wt1mg_eq_pt.rst -x wt1mg_eq_pt.crd -o wt1mg_eq_pt.out

eq_pt1.in

Constant pressure constant temperature equilibration stage
&cntrl
nstlim=, dt=0.002, ntx=, irest=, ntpr=, ntwr=, ntwx=,
temp0=300.0, ntt=, tautp=2.0,
ntb=, ntp=,
ntc=, ntf=,
nrespa=,
&end


$ sander -O -i eq_pt1.in -p wt1mg.parm7 -c wt1mg_eq_v.rst -r wt1mg_eq_pt1.rst -x wt1mg_eq_pt1.crd -o wt1mg_eq_pt1.out

ptraj.in

trajin wt1mg_eq.crd
center :-
image center familiar
rms first out wt1mg_eq_rms.out :-@CA
trajout wt1mg_eq_nice.crd nobox

$ ptraj wt1mg.parm7 ptraj.in

4. Production

production.in

Constant pressure constant temperature production run
&cntrl
nstlim=, dt=0.002, ntx=, irest=, ntpr=, ntwr=, ntwx=,
temp0=300.0, ntt=, tautp=2.0,
ntb=, ntp=,
ntc=, ntf=,
nrespa=,
&end

5. Analysis

Amber learning note A8: Loop Dynamics of the HIV-1 Integrase Core Domain的更多相关文章

  1. Course Machine Learning Note

    Machine Learning Note Introduction Introduction What is Machine Learning? Two definitions of Machine ...

  2. Learning note for Binding and validation

    Summary of my learning note for WPF Binding Binding to DataSet. when we want to add new record, we s ...

  3. Learning Note: SQL Server VS Oracle–Database architecture

     http://www.sqlpanda.com/2013/07/learning-note-sql-server-vs.html This is my learning note base on t ...

  4. shell learning note

      shell learning note MAIN="/usr/local/" # 变量大写 STATUS="$MAIN/status" # 美元符加字符串是 ...

  5. 2014/09/30 Learning Note

    Vbird Linux: Vim Learning: http://linux.vbird.org/linux_basic/0310vi.php Bash Shell: http://linux.vb ...

  6. [Angular2] @Ngrx/store and @Ngrx/effects learning note

    Just sharing the learning experience related to @ngrx/store and @ngrx/effects. In my personal opinio ...

  7. Machine Learning Note Phase 1( Done!)

    Machine Learning 这是第一份机器学习笔记,创建于2019年7月26日,完成于2019年8月2日. 该笔记包括如下部分: 引言(Introduction) 单变量线性回归(Linear ...

  8. Inheritance Learning Note

    好几天没来学习了,昨晚把继承的又整理了一下.想把整理后的东西发到hexo博客上来,却发现命令行又失效了.前几天明明是好的,这几天又没有进行任何操作,网上搜了一下也没有招到合适的解决办法,无奈只能重装了 ...

  9. Machine Learning Note

    [Andrew Ng NIPS2016演讲]<Nuts and Bolts of Applying Deep Learning (Andrew Ng) 中文详解:https://mp.weixi ...

随机推荐

  1. db2 v9.7 新特性cur_commit 能够实现未提交读新特性cur_commit 能够实现未提交读

    db2 get db cfg|find "CUR_COMMIT" 当前已落实                                   (CUR_COMMIT) = ON ...

  2. vue进阶用法-深入响应式原理

    异步更新队列 当vue异步执行更新DOM时,只要观察到数据变化,vue经开启一个队列,并缓冲在同一时间循环中发生的所有数据改变.如果同一个watch被多次触发,只会一次推入到队列中.然后在下一个事件循 ...

  3. 所生成项目的处理器架构“MSIL”与引用“***”的处理器架构“x86”不匹配。这种不匹配可能会导致运行时失败。请考虑通过配置管理器...

    警告:所生成项目的处理器架构“MSIL”与引用“***”的处理器架构“x86”不匹配.这种不匹配可能会导致运行时失败.请考虑通过配置管理器更改您的项目的目标处理器架构,以使您的项目与引用间的处理器架构 ...

  4. [No000018B]写代码要用 Vim,因为越难入门的工具回报越大

    编者按:现在的技术界有一种倾向,将软件/应用操作简单化,用户能轻松上手.但是工具是否强大,取决于它能否灵活地满足使用者的各种需要.有些工具虽然很难入门,学会了便能对自己的操作有更深的层次的了解,能赋予 ...

  5. python 过滤掉字符串中的回车符与换行符(\t\n)

    我们在文本数据预处理前,要将数据统一整理成需要的格式,其中有回车(\t)或者(\n)符号,会对我们的数据保存有影响,那么就需要将其过滤掉. 比较简单的方法,用replace()将这些符号替换为空,一定 ...

  6. MySQL命令:select查询语句

    SQL 中最常用的 SELECT 语句,用来在表中选取数据. 要记得的知识点如下: SELECT 语句格式: SELECT 要查询的列名 FROM 表名字 WHERE 限制条件: WHERE语句后: ...

  7. 终端:Xcode模拟器上安装.app方法

    有的时候,我们可能需要将别人的Xcode运行之后的程序包(xxx.app)安装在自己的模拟器上,如下我将介绍如何通过终端来安装. 实现 获取自己Xcode生成的xxx.app steps 1:在工程d ...

  8. [daily][qemu][kvm] 使用virtfs在host与guest之间共享目录

    如题. 之前我使用NFS,NFS会有同步问题.比如编译文件时候的时间同步问题,见前边的文章. 如今,我们使用高级的virtfs: 见:https://www.linux-kvm.org/page/9p ...

  9. [GRE] GRE协议介绍

    写的一般,主要看下图就行了. https://blog.csdn.net/Mary19920410/article/details/72303641 前半部分介绍还不错,后半部分没看. http:// ...

  10. [cloud][sdn] ananta load balancer

    简单的说,Ananta是一个基于SDN,为第四层负载均衡和NAT提供的分布式.可伸缩架构.Ananta已经在Bing和Azure上运营了三年,服务于多路Tbps吞吐量服务器的信息交互.它最大的好处是可 ...