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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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boltzgen

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

All-atom protein design using BoltzGen diffusion model. Use this skill when: (1) Need side-chain aware design from the start, (2) Designing around small molecules or ligands, (3) Want all-atom diffusion (not just backbone), (4) Require precise binding geometries, (5) Using YAML-based configuration. For backbone-only generation, use rfdiffusion. For sequence-only design, use proteinmpnn. For structure validation, use….

OpenClawNanoClaw分析处理复现实验boltzgen🔬 omics & computational biologyprotein structure & designall

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

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

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

  • git clone https：//github.com/hgbrian/biomodals && cd biomodals。
  • modal run modal_boltzgen.py \ --input-yaml binder_config.yaml \ --protocol protein-anything \ --num-designs 50。

原始文档

SKILL.md 摘录

Prerequisites

RequirementMinimumRecommended
Python3.10+3.11
CUDA12.0+12.1+
GPU VRAM24GB48GB (L40S)
RAM32GB64GB

How to run

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

With custom GPU

GPU=L40S modal run modal_boltzgen.py
--input-yaml binder_config.yaml
--protocol protein-anything
--num-designs 100


**GPU**: L40S (48GB) recommended | **Timeout**: 120min default

**Available protocols**: `protein-anything`, `peptide-anything`, `protein-small_molecule`, `nanobody-anything`, `antibody-anything`

适用场景

  • Use boltzgen 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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