<!-- COPYRIGHT NOTICE This file is part of the "Universal Biomedical Skills" project. Copyright c 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu All Rights Reserved. This code is proprietary and confidential. Unauthorized copying of this file, via any medium is strictly prohibited. Provenance:
Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill "protein-structure-prediction" -g -a claude-code -yOr manually — clone and copy the skill directory (SKILL.md + companion files):
git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills /tmp/OpenClaw-Medical-Skills && cp -r /tmp/OpenClaw-Medical-Skills/skills/protein-structure-prediction ~/.claude/skills/protein-structure-predictionThis skill is a directory: SKILL.md is the entry point; the files below ship with it.
<!--
# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
#
# Provenance: Authenticated by MD BABU MIA
-->
---
name: 'protein-structure-prediction'
description: 'Predicts 3D protein structures from amino acid sequences using ESMFold or AlphaFold3 (mock).'
measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes.
allowed-tools:
- read_file
- run_shell_command
---
# Protein Structure Prediction (ESMFold/AF3)
The **Protein Structure Prediction Skill** provides an interface to state-of-the-art folding models. It takes an amino acid sequence and returns a PDB file or structure metrics (pLDDT).
## When to Use This Skill
* When you have a protein sequence and need its 3D coordinates.
* To check if a designed sequence folds into a stable structure.
* To prepare a receptor for docking simulations.
## Core Capabilities
1. **Folding**: Generates atomic coordinates (PDB format).
2. **Confidence Scoring**: Returns pLDDT scores per residue.
3. **Visualization**: (Optional) Generates a static view of the structure.
## Workflow
1. **Input**: Amino acid sequence (FASTA string).
2. **Process**: Sends sequence to ESMFold API (or local inference).
3. **Output**: Saves `.pdb` file and returns confidence metrics.
## Example Usage
**User**: "Fold this sequence: MKTIIALSY..."
**Agent Action**:
```bash
python3 Skills/Drug_Discovery/Protein_Structure/esmfold_client.py \
--sequence "MKTIIALSYIFCLVFDYDY" \
--output structure.pdb
```
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->Search arXiv papers by keyword, author, category, or ID.
Gateway to 400+ bioinformatics skills from bioSkills and ClawBio. Covers genomics, transcriptomics, single-cell, variant calling, pharmacogenomics, metagenomics, structural biology, and more. Fetches domain-specific reference material on demand.
> Pharmaceutical research assistant for drug discovery workflows. Search bioactive compounds on ChEMBL, calculate drug-likeness (Lipinski Ro5, QED, TPSA, synthetic accessibility), look up drug-drug interactions via OpenFDA, interpret ADMET profiles, and assist with lead optimization. Use for medicinal chemistry questions, molecule property analysis, clinical pharmacology, and open-science drug research.