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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time-resolved-cryoem-agent

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

Time-resolved cryo-EM analysis for dynamic structural biology.

OpenClawNanoClaw分析处理复现实验time-resolved-cryoem-agent🧠 bioos extended suitedrug discovery & designtime

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/time-resolved-cryoem-agent

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

  • Time-Resolved Cryo-EM Agent leverages time-resolved cryo-electron microscopy to capture protein dynamics,drug-binding kinetics,、 conformational transitions. It integrates AI-powered analysis ,支持 experimental time-resolved data to enable dynamics-based drug discovery,moving beyond static structures to understand drug mechanisms in motion。
  • When studying drug-binding kinetics structurally。
  • 用于 capturing protein conformational transitions。
  • To understand allosteric mechanisms 、 dynamics。
  • When designing drugs targeting specific conformational states。

原始文档

SKILL.md 摘录

Core Capabilities

  1. Kinetics Extraction: Extract binding kinetics from time-resolved data.

  2. Conformational Sorting: Classify particles by conformational state.

  3. Trajectory Reconstruction: Build conformational trajectories.

  4. Intermediate Identification: Detect rare intermediate states.

  5. MD Integration: Combine with molecular dynamics simulations.

  6. Dynamics-Based Design: Design drugs targeting specific states.

Time-Resolved Methods

MethodTimescaleResolutionApplication
Rapid Mixingms-s3-4 ÅLigand binding
Temperature Jumpμs-ms3-5 ÅTransitions
Photocagingμs-ms3-5 ÅTriggered reactions
Flow-Mixing10ms-s3-4 ÅEnzyme kinetics

Workflow

  1. Input: Time-resolved cryo-EM datasets, protein sequence.

  2. Particle Processing: 3D classification across timepoints.

  3. State Assignment: AI-powered conformational sorting.

  4. Kinetics Fitting: Extract rate constants.

  5. Intermediate Mapping: Identify transient states.

  6. Drug Design: Target state-specific pockets.

  7. Output: Kinetic models, conformational movie, design targets.

适用场景

  • When studying drug-binding kinetics structurally。
  • 用于 capturing protein conformational transitions。
  • To understand allosteric mechanisms 、 dynamics。
  • When designing drugs targeting specific conformational states。

不适用场景

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

上游相关技能

  • CryoEM_AI_Drug_Design_Agent - Static structure design
  • Molecular_Dynamics_Agent - MD simulations
  • AlphaFold3_Agent - Structure prediction
  • PROTAC_Design_Agent - Degrader design

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