AD
数据与复现
Adaptyv
Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein s…
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数据与复现
TO
tooluniverse-protein-therapeutic-design
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Design novel protein therapeutics (binders, enzymes, scaffolds) using AI-guided de novo design. Uses RFdiffusion for backbone generation, ProteinMPNN for sequence design, ESMFold/AlphaFold2 for validation. Use when asked to design protein binders, therapeutic proteins, or engineer protein function.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-protein-therapeutic-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
核心说明
- AI-guided de novo protein design ，使用 RFdiffusion backbone generation，ProteinMPNN sequence optimization，、 structure validation ，用于 therapeutic protein development。
- KEY PRINCIPLES：1. Structure-first design - Generate backbone geometry before sequence 2. Target-guided - Design binders ，支持 target structure in mind 3. Iterative validation - Predict structure to validate designs 4. Developability-aware - Consider aggregation，immunogenicity，expression 5. Evidence-graded - Grade designs by confidence metrics 6. Actionable output - Provide sequences ready ，用于 experimental testing 7. English-first queries - Always use English terms in tool calls (protein names，target names)，even if user writes in another language. Only try original-language terms as fallback. Respond in user's language。
原始文档
SKILL.md 摘录
When to Use
Apply when user asks:
- "Design a protein binder for [target]"
- "Create a therapeutic protein against [protein/epitope]"
- "Design a protein scaffold with [property]"
- "Optimize this protein sequence for [function]"
- "Design a de novo enzyme for [reaction]"
- "Generate protein variants for [target binding]"
1. Report-First Approach (MANDATORY)
-
Create the report file FIRST:
- File name:
[TARGET]_protein_design_report.md - Initialize with section headers
- Add placeholder:
[Designing...]
- File name:
-
Progressively update as designs are generated
-
Output separate files:
[TARGET]_designed_sequences.fasta- All designed sequences[TARGET]_top_candidates.csv- Ranked candidates with metrics
2. Design Documentation (MANDATORY)
Every design MUST include:
适用场景
- 适合在asked to design protein binders，therapeutic proteins，或 engineer protein function时使用。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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