Data & ReproProtein Structure & DesignFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction

chai

Maintainer FreedomIntelligence · Last updated April 1, 2026

Structure prediction using Chai-1, a foundation model for molecular structure. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-ligand complexes, (4) Using the Chai API for high-throughput prediction, (5) Need an alternative to AlphaFold2. For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For ESM-based analysis,….

OpenClawNanoClawAnalysisReproductionchai🔬 omics & computational biologyprotein structure & designstructure

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/chai

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

run_inference( fasta_file='complex.fasta', output_dir='predictions/', num_trunk_recycles=3 ) ".
with open('predictions/scores.json') as f: scores = json.load(f).
plddt = np.load('predictions/plddt.npy') pae = np.load('predictions/pae.npy').
print(f"pLDDT: {plddt.mean():.3f}") print(f"pTM: {scores['ptm']:.3f}") print(f"ipTM: {scores.get('iptm', 'N/A')}").

Source Doc

Excerpt From SKILL.md

Prerequisites

Requirement	Minimum	Recommended
Python	3.10+	3.11
CUDA	12.0+	12.1+
GPU VRAM	24GB	40GB (A100)
RAM	32GB	64GB

How to run

First time? See Installation Guide to set up Modal and biomodals.

Option 1: Modal

GPU: A100 (40GB) | Timeout: 30min default

Use cases

Use chai in research workflows aligned with this subject area.
Follow the upstream documentation for the full working procedure.

Not for

Do not rely on this catalog entry alone for installation or maintenance details.

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