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数据与复现蛋白结构与设计FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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chai

维护者 FreedomIntelligence · 最近更新 2026年4月1日

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,….

OpenClawNanoClaw分析处理复现实验chai🔬 omics & computational biologyprotein structure & designstructure

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

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

维护者
FreedomIntelligence
许可
MIT
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • run_inference( fasta_file='complex.fasta'，output_dir='predictions/'，num_trunk_recycles=3 )。
  • 支持 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/ ')}")。

原始文档

SKILL.md 摘录

Prerequisites

RequirementMinimumRecommended
Python3.10+3.11
CUDA12.0+12.1+
GPU VRAM24GB40GB (A100)
RAM32GB64GB

How to run

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

Option 1: Modal

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

适用场景

  • Use chai in 科研工作流 aligned ，支持 this subject area。
  • Follow upstream documentation ，用于 full working procedure。

不适用场景

  • Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。

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