by-scoring
CommunityScore and rank designs with BY scoring metrics.
Author001TMF
Version1.0.0
Installs0
System Documentation
What problem does it solve?
BY Scoring interprets and applies BY's custom scoring metrics — ipSAE, ipTM, pLDDT, RMSD, liability counts, and the composite ranking formula — to rank antibody, nanobody, and de novo designs based on interface confidence, global topology, and manufacturability.
Core Features & Use Cases
- Interpret ipSAE_min, ipTM, pLDDT_mean, RMSD, liability counts, and the BY composite score.
- Use this skill when scoring designs after BoltzGen refolding, ranking panels, troubleshooting metric disagreements, or advising on candidate ranking decisions.
- Supports single-design scoring, multi-seed scoring, and batch ranking with hard filters by modality; outputs include per-design metrics and a final verdict.
Quick Start
Run the BY scoring workflow on a Protenix output to produce ipsae_min, iptm, and a composite ranking.
Dependency Matrix
Required Modules
numpypandasmatplotlib
Components
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: by-scoring Download link: https://github.com/001TMF/blatant-why/archive/main.zip#by-scoring Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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