lyceum_ipsae
CommunityScore protein interactions on Lyceum
Software Engineering#bioinformatics#scoring#protein interaction#structure prediction#lyceum#binding confidence
Authoralex-hh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the scoring of predicted protein-protein interactions, providing crucial metrics for evaluating binding confidence.
Core Features & Use Cases
- Interaction Scoring: Computes ipSAE, pDockQ, pDockQ2, and LIS scores for protein complexes.
- Input Flexibility: Accepts PAE and structure files from various predictors like AlphaFold2/3 and Boltz.
- Use Case: After designing a potential protein binder, use this Skill to score its predicted interaction with the target protein, helping to rank and select the most promising candidates.
Quick Start
Use the lyceum_ipsae skill to score the protein interaction using the provided PAE file 'pae.json' and structure file 'model.cif'.
Dependency Matrix
Required Modules
lyceum_ipsae.pyipsae.txt
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: lyceum_ipsae Download link: https://github.com/alex-hh/in-silico-pgdh/archive/main.zip#lyceum-ipsae Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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