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

binder-design

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

Guidance for choosing the right protein binder design tool. Use this skill when: (1) Deciding between BoltzGen, BindCraft, or RFdiffusion, (2) Planning a binder design campaign, (3) Understanding trade-offs between different approaches, (4) Selecting tools for specific target types. For specific tool parameters, use the individual tool skills (boltzgen, bindcraft, rfdiffusion, etc.).

OpenClawNanoClaw分析处理复现实验binder-design🔬 omics & computational biologyprotein structure & designguidance

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

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

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

  • Trim to binding region + 10A buffer。
  • Remove waters 、 ligands。
  • Renumber chains if needed。
  • Trim to binding region + 10A buffer Remove waters 、 ligands Renumber chains if needed。
  • modal run modal_rfdiffusion.py \ --pdb target.pdb \ --contigs "A1-150/0 70-100" \ --hotspot "A45,A67,A89" \ --num-designs 500。

原始文档

SKILL.md 摘录

Tool comparison

ToolStrengthsWeaknessesBest For
BoltzGenAll-atom, single-step, ligand-awareHigher GPU requirementStandard (recommended)
BindCraftEnd-to-end, built-in AF2 validationLess diverseProduction campaigns
RFdiffusionHigh diversity, fastRequires ProteinMPNNExploration, diversity
GerminalNanobody/VHH designSpecializedAntibody optimization

Recommended Pipeline: BoltzGen → Chai → QC

BoltzGen provides all-atom design with built-in side-chain packing:

2. Hotspot selection

  • Choose 3-6 exposed residues
  • Prefer charged/aromatic residues
  • Cluster spatially (within 10-15A)

适用场景

  • Use binder-design 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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