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time-resolved-cryoem-agent

Maintainer FreedomIntelligence · Last updated April 1, 2026

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

OpenClawNanoClawAnalysisReproductiontime-resolved-cryoem-agent🧠 bioos extended suitedrug discovery & designtime

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

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

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • The Time-Resolved Cryo-EM Agent leverages time-resolved cryo-electron microscopy to capture protein dynamics, drug-binding kinetics, and conformational transitions. It integrates AI-powered analysis with 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.
  • For capturing protein conformational transitions.
  • To understand allosteric mechanisms and dynamics.
  • When designing drugs targeting specific conformational states.

Source Doc

Excerpt From SKILL.md

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.

Use cases

  • When studying drug-binding kinetics structurally.
  • For capturing protein conformational transitions.
  • To understand allosteric mechanisms and dynamics.
  • When designing drugs targeting specific conformational states.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • 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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