molclaw-prolif-md

Compute ProLIF interaction fingerprints from molecular dynamics trajectories.

28|2|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/InternScience/MolClaw --skill molclaw-prolif-md
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: molclaw-prolif-md
Source: https://github.com/InternScience/MolClaw/tree/main/skills/L1_tools/molclaw-prolif-md
Command: npx skills add https://github.com/InternScience/MolClaw --skill molclaw-prolif-md

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the analysis of molecular dynamics trajectories to quantify protein-ligand interactions using ProLIF fingerprints, enabling researchers to monitor binding stability across frames without manual inspection.

Core Features & Use Cases

  • Compute ProLIF fingerprints for MD trajectories and produce standardized metrics and high-frequency interaction reports.
  • Support frame slicing, residue selection controls, and optional proximity-based interaction analysis.
  • Use case: evaluate whether a ligand maintains key contacts during a simulation to inform lead optimization.

Quick Start

Run prolif_md with your topology and trajectory inputs to generate ProLIF fingerprints and summary metrics.

Frequently Asked Questions about molclaw-prolif-md

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compute ProLIF interaction fingerprints from an MD trajectory?

To compute ProLIF interaction fingerprints from an MD trajectory, provide topology inputs like .psf, .pdb, or .prmtop alongside trajectory files such as .dcd, .nc, or .xtc. The tool processes these inputs to generate standardized metrics and a detailed interaction frequency report.

What is the best way to monitor protein-ligand binding stability across simulation frames?

Monitoring protein-ligand binding stability across simulation frames is achieved by calculating ProLIF interaction fingerprints to quantify contact frequencies. This approach evaluates whether a ligand maintains key contacts during a simulation to inform lead optimization.

Can I analyze specific protein regions and ligand interactions during trajectory analysis?

Yes, you can analyze specific protein regions and ligand interactions during trajectory analysis by selecting target residues. The computation supports frame slicing and optional proximity-based interaction analysis to isolate specific binding contacts.

Does trajectory analysis for ProLIF fingerprints support .xtc and .nc file formats?

Yes, trajectory analysis for ProLIF fingerprints supports .xtc and .nc file formats, along with .dcd files. The required topology inputs can be provided as .psf, .pdb, or .prmtop files to successfully compute the interaction data.

What outputs do I get from a ProLIF molecular dynamics trajectory analysis?

Outputs from a ProLIF molecular dynamics trajectory analysis include status, messages, output files, frame counts, and a detailed interaction frequency report. These results summarize high-frequency interactions to help evaluate binding stability for lead optimization.