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

mage-antibody-generator

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

MAGE antibody generator: sequence design, humanization, affinity maturation.

OpenClawNanoClaw分析处理复现实验mage-antibody-generator🧠 bioos extended suitedrug discovery & designmage

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/mage-antibody-generator

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

  • 运行 MAGE antibody generation workflow to propose antigen-conditioned antibody sequences ,用于 downstream structural validation。
  • 1. Prep env:cd repo 、 install dependencies,then point to GPU if available. 2. Run generator:python generate_antibodies.py --antigen_sequence <SEQ> --num_candidates N --output_dir./results. 3. Collect outputs:Provide FASTA paths + metadata,optionally translate into JSON manifest. 4. Recommend validation:Suggest AlphaFold/Rosetta checks 、 wet-lab follow-up。

原始文档

SKILL.md 摘录

Guardrails

  • Never imply binding efficacy without structural/experimental confirmation.
  • Track model version + seeds to ensure reproducibility.
  • Encourage downstream filtering (liability motifs, developability metrics).

适用场景

  • Use mage-antibody-generator 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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