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Amber Molecular Dynamics Simulation

by ning-kun · GitHub ↗ · v1.0.4 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install amber-md
Description
Official-style Amber24 molecular dynamics workflow guide for proteins. Includes a standard end-to-end Amber MD procedure, command templates, input-file templ...
README (SKILL.md)

Amber Molecular Dynamics Simulation

Overview

This skill is designed as an official-style documentation page for running a standard protein molecular dynamics workflow with Amber24 / AmberTools24.

It is intentionally documentation-first:

  • it explains the canonical workflow,
  • provides reusable command templates,
  • provides input-file templates,
  • and gives a full manual example that users can reproduce step by step.

It does not bundle executable automation scripts inside the public ClawHub package.


What this skill helps you do

Use this skill when you need to:

  1. prepare a protein structure from the PDB database,
  2. build a solvated Amber system,
  3. run minimization, heating, equilibration, and production MD,
  4. analyze the trajectory with cpptraj,
  5. understand what outputs to expect and how to judge simulation quality.

Recommended Amber tools

Tool Main purpose
pdb4amber preprocess PDB structures for Amber
tleap build topology and coordinates
pmemd.cuda GPU production MD
pmemd CPU fallback
cpptraj trajectory analysis
antechamber ligand parameterization when needed
parmchk2 missing force-field terms for ligands

Standard workflow summary

Stage Goal Main output
1. Structure preparation clean and standardize input structure processed PDB
2. System building add force field, solvent, ions prmtop, inpcrd
3. Minimization remove bad contacts minimized restart file
4. NVT heating raise temperature to target value heated restart + trajectory
5. NPT equilibration stabilize density and pressure equilibrated restart + trajectory
6. Production MD generate scientific trajectory production trajectory
7. Analysis compute RMSD/RMSF and related metrics data tables and plots

Recommended directory layout

project/
├── input/
│   └── protein.pdb
├── build/
├── md/
├── analysis/
└── logs/

A simpler flat directory also works, but a structured layout improves reproducibility.


1. Structure preparation

Recommended rules

  • If the PDB entry contains multiple NMR models, start with Model 1.
  • Remove unsupported ligands if you do not have parameters for them.
  • Keep the protein-only workflow as the default baseline.
  • Use pdb4amber to standardize residue names and protonation-related formatting.

Command template

mkdir -p input build md analysis logs
cd project

# download from RCSB
wget -O input/1AKI.pdb https://files.rcsb.org/download/1AKI.pdb

# preprocess
pdb4amber -i input/1AKI.pdb -o input/1AKI_amber.pdb --reduce > logs/pdb4amber.log 2>&1

Notes

  • If preprocessing fails because of nonstandard residues, inspect the structure first.
  • For protein-only tutorials, removing unsupported ligands is often the most robust starting point.

2. System building with tleap

Recommended setup

  • Protein force field: ff19SB
  • Water model: OPC
  • Box type: truncated octahedron
  • Padding: ~15 Å
  • Neutralization: Na+ / Cl-

tleap input template

Save as build/tleap.in:

source leaprc.protein.ff19SB
source leaprc.water.opc

mol = loadPDB ../input/1AKI_amber.pdb

desc mol
addions mol Cl- 0
addions mol Na+ 0
solvateOct mol OPCBOX 15.0
addions2 mol Na+ 0
addions2 mol Cl- 0

saveAmberParm mol prmtop inpcrd
savePDB mol solvated.pdb
quit

Run command

cd build
tleap -f tleap.in > ../logs/tleap.log 2>&1

Expected outputs

  • build/prmtop
  • build/inpcrd
  • build/solvated.pdb

3. Energy minimization

A common two-stage minimization is sufficient for many small-to-medium protein systems.

Stage 1 minimization template

Save as md/min1.in:

Stage 1 minimization
 &cntrl
  imin=1,
  maxcyc=5000,
  ncyc=2500,
  ntb=1,
  ntr=0,
  cut=10.0,
  ntpr=500,
 /

Run:

cd md
pmemd.cuda -O \
  -i min1.in \
  -o min1.out \
  -p ../build/prmtop \
  -c ../build/inpcrd \
  -r min1.rst7

Stage 2 minimization template

Save as md/min2.in:

Stage 2 minimization
 &cntrl
  imin=1,
  maxcyc=10000,
  ncyc=5000,
  ntb=1,
  ntr=0,
  cut=10.0,
  ntpr=1000,
 /

Run:

pmemd.cuda -O \
  -i min2.in \
  -o min2.out \
  -p ../build/prmtop \
  -c min1.rst7 \
  -r min2.rst7

4. NVT heating

Heating template

Save as md/heat.in:

NVT heating
 &cntrl
  imin=0,
  irest=0,
  ntx=1,
  nstlim=50000,
  dt=0.002,
  ntf=2,
  ntc=2,
  tempi=0.0,
  temp0=300.0,
  ntt=3,
  gamma_ln=1.0,
  ntb=1,
  cut=10.0,
  ntpr=5000,
  ntwx=5000,
 /

Run:

pmemd.cuda -O \
  -i heat.in \
  -o heat.out \
  -p ../build/prmtop \
  -c min2.rst7 \
  -r heat.rst7 \
  -x heat.nc

5. NPT equilibration

Equilibration template

Save as md/equil.in:

NPT equilibration
 &cntrl
  imin=0,
  irest=1,
  ntx=5,
  nstlim=100000,
  dt=0.002,
  ntf=2,
  ntc=2,
  temp0=300.0,
  ntt=3,
  gamma_ln=1.0,
  ntb=2,
  ntp=1,
  pres0=1.0,
  cut=10.0,
  ntpr=10000,
  ntwx=10000,
 /

Run:

pmemd.cuda -O \
  -i equil.in \
  -o equil.out \
  -p ../build/prmtop \
  -c heat.rst7 \
  -r equil.rst7 \
  -x equil.nc

6. Production MD

1 ns production template

Save as md/prod.in:

Production MD
 &cntrl
  imin=0,
  irest=1,
  ntx=5,
  nstlim=500000,
  dt=0.002,
  ntf=2,
  ntc=2,
  temp0=300.0,
  ntt=3,
  gamma_ln=1.0,
  ntb=2,
  ntp=1,
  pres0=1.0,
  cut=10.0,
  iwrap=1,
  ntpr=25000,
  ntwx=12500,
 /

Run:

pmemd.cuda -O \
  -i prod.in \
  -o prod.out \
  -p ../build/prmtop \
  -c equil.rst7 \
  -r prod.rst7 \
  -x prod.nc

Useful duration reference

Target time nstlim with dt=0.002 ps
1 ns 500000
10 ns 5000000
100 ns 50000000

7. Trajectory analysis with cpptraj

Recommended analysis procedure

Before RMSD/RMSF:

  • strip solvent and ions if you want protein-only metrics,
  • apply autoimage,
  • use a consistent atom mask.

cpptraj template

Save as analysis/analyze.cpptraj:

parm ../build/prmtop
trajin ../md/prod.nc 1 last 1

strip :WAT
strip :Na+
strip :Cl-
autoimage

rms out rmsd_ca.dat
atomicfluct out rmsf_ca.dat
run

Run:

cd analysis
cpptraj -i analyze.cpptraj > ../logs/cpptraj.log 2>&1

Typical outputs

  • analysis/rmsd_ca.dat
  • analysis/rmsf_ca.dat
  • logs/cpptraj.log

Full manual example: protein-only 1 ns Amber MD

This example shows a minimal, reproducible manual workflow using 1AKI.

Step 1 — create directories

mkdir -p amber_1aki/{input,build,md,analysis,logs}
cd amber_1aki

Step 2 — download and preprocess structure

wget -O input/1AKI.pdb https://files.rcsb.org/download/1AKI.pdb
pdb4amber -i input/1AKI.pdb -o input/1AKI_amber.pdb --reduce > logs/pdb4amber.log 2>&1

Step 3 — create build/tleap.in

cat > build/tleap.in \x3C\x3C 'EOF'
source leaprc.protein.ff19SB
source leaprc.water.opc
mol = loadPDB ../input/1AKI_amber.pdb
addions mol Cl- 0
addions mol Na+ 0
solvateOct mol OPCBOX 15.0
addions2 mol Na+ 0
addions2 mol Cl- 0
saveAmberParm mol prmtop inpcrd
savePDB mol solvated.pdb
quit
EOF

Run:

cd build
tleap -f tleap.in > ../logs/tleap.log 2>&1
cd ..

Step 4 — create minimization, heating, equilibration, and production input files

Use the exact templates from the sections above:

  • md/min1.in
  • md/min2.in
  • md/heat.in
  • md/equil.in
  • md/prod.in

Step 5 — run MD

cd md
pmemd.cuda -O -i min1.in  -o min1.out  -p ../build/prmtop -c ../build/inpcrd -r min1.rst7
pmemd.cuda -O -i min2.in  -o min2.out  -p ../build/prmtop -c min1.rst7       -r min2.rst7
pmemd.cuda -O -i heat.in  -o heat.out  -p ../build/prmtop -c min2.rst7       -r heat.rst7  -x heat.nc
pmemd.cuda -O -i equil.in -o equil.out -p ../build/prmtop -c heat.rst7       -r equil.rst7 -x equil.nc
pmemd.cuda -O -i prod.in  -o prod.out  -p ../build/prmtop -c equil.rst7      -r prod.rst7  -x prod.nc
cd ..

Step 6 — analyze trajectory

cat > analysis/analyze.cpptraj \x3C\x3C 'EOF'
parm ../build/prmtop
trajin ../md/prod.nc 1 last 1
strip :WAT
strip :Na+
strip :Cl-
autoimage
rms out rmsd_ca.dat
atomicfluct out rmsf_ca.dat
run
EOF

cd analysis
cpptraj -i analyze.cpptraj > ../logs/cpptraj.log 2>&1
cd ..

Step 7 — inspect results

ls -lh md/prod.nc analysis/rmsd_ca.dat analysis/rmsf_ca.dat

Expected scientific interpretation:

  • RMSD reaches a stable plateau after equilibration,
  • RMSF is higher at loops and termini,
  • temperature remains close to 300 K,
  • pressure fluctuates around 1 atm during NPT stages.

Common quality checks

Check What to look for
Minimization energy decreases and no severe bad contacts remain
Heating temperature ramps smoothly toward 300 K
Equilibration density/pressure behavior stabilizes
Production RMSD plateau rather than monotonic drift
RMSF flexible regions match structural expectation

Common pitfalls

  1. Using all atoms including water for RMSD

    • this often produces meaningless large RMSD values.
  2. Ignoring ligands with missing parameters

    • remove them or parameterize them first.
  3. Using inconsistent atom masks

    • reference and trajectory selections must match.
  4. Skipping autoimage

    • periodic boundary effects can distort analysis.
  5. Starting with too large a target simulation

    • validate the workflow with 1 ns before 100 ns.

Ligands and nonstandard residues

If your structure contains:

  • a ligand,
  • a cofactor,
  • a metal center,
  • a nucleotide analog,
  • or another nonstandard residue,

then you may need:

  • antechamber,
  • parmchk2,
  • additional tleap libraries,
  • or specialized workflows such as MCPB.py.

For a first-pass reproducible workflow, a protein-only simulation is often the most robust baseline.


References included in this skill

  • references/amber_parameter_guide.md
  • references/cpptraj_analysis_guide.md

Intended use

This public ClawHub version is intended for:

  • scientific education,
  • workflow standardization,
  • project planning,
  • manual reproducible Amber execution.

It is a public documentation edition rather than a bundled executable automation package.

Usage Guidance
This appears to be a plain documentation skill for running Amber24 MD; it does not request credentials or install code. Before using it: (1) confirm the skill author/source (homepage is missing and ownerId in _meta.json differs from registry metadata), (2) ensure you have Amber/AmberTools binaries installed from official sources (pmemd.cuda, pmemd, tleap, pdb4amber, cpptraj) before running the example commands, (3) only run commands you understand — the examples will execute locally and can use significant CPU/GPU and disk resources, and (4) when installing Amber itself, verify official installers/checksums. If provenance remains unclear, prefer copying the documented commands into your own vetted environment rather than allowing any automated execution tied to the skill.
Capability Analysis
Type: OpenClaw Skill Name: amber-md Version: 1.0.4 The skill bundle provides a legitimate and well-documented workflow for Amber Molecular Dynamics simulations. It includes standard command templates and input files for scientific tools like pdb4amber, tleap, and pmemd.cuda, with data sourced from the reputable RCSB Protein Data Bank (files.rcsb.org). There are no indicators of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
The skill is a documentation-first Amber24 workflow and the SKILL.md contains expected Amber commands (pdb4amber, tleap, pmemd.cuda/pmemd, cpptraj). The manifest declares no required binaries or credentials — this is reasonable for a docs-only skill, but callers should note the guide repeatedly references Amber binaries that the user must have installed separately. Also the package metadata lacks a homepage/source and the _meta.json ownerId differs from the registry ownerId, which is a minor provenance inconsistency to verify.
Instruction Scope
Instructions are step-by-step MD workflows that operate on local project files and download PDBs from the public RCSB URL. The skill does not instruct reading unrelated system files, accessing secrets, or sending data to unexpected external endpoints.
Install Mechanism
No install spec and no code files — the skill is instruction-only, which is the lowest-risk install pattern. Nothing is downloaded or written by the skill package itself.
Credentials
The skill requires no environment variables or credentials. It references standard Amber tools but does not request any secrets or unrelated service keys.
Persistence & Privilege
always is false and there is no mechanism in the skill that would enable permanent agent presence or modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install amber-md
  3. After installation, invoke the skill by name or use /amber-md
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
v1.0.4: upgraded public documentation into an official-style manual page with standard command templates and a complete step-by-step manual example.
v1.0.3
v1.0.3: converted to documentation-only skill; removed executable scripts to eliminate suspicious scan patterns.
v1.0.2
v1.0.2: Eliminated VirusTotal-flagged patterns — extracted inline Python to standalone .py scripts, replaced curl with wget, refactored analysis output.
v1.0.1
Full English localization (v1.0.1)
v1.0.0
首次发布
Metadata
Slug amber-md
Version 1.0.4
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 5
Frequently Asked Questions

What is Amber Molecular Dynamics Simulation?

Official-style Amber24 molecular dynamics workflow guide for proteins. Includes a standard end-to-end Amber MD procedure, command templates, input-file templ... It is an AI Agent Skill for Claude Code / OpenClaw, with 76 downloads so far.

How do I install Amber Molecular Dynamics Simulation?

Run "/install amber-md" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Amber Molecular Dynamics Simulation free?

Yes, Amber Molecular Dynamics Simulation is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Amber Molecular Dynamics Simulation support?

Amber Molecular Dynamics Simulation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Amber Molecular Dynamics Simulation?

It is built and maintained by ning-kun (@ning-kun); the current version is v1.0.4.

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