Automate cross-database target research for antibody campaigns with an 8-phase pipeline.
npx skills add https://github.com/001TMF/blatant-why --skill by-research
Please help me install this Agent Skill. Skill: by-research Source: https://github.com/001TMF/blatant-why/tree/main/templates/.claude/skills/by-research Command: npx skills add https://github.com/001TMF/blatant-why --skill by-research
BY Research automates comprehensive, cross-database target research for antibody/binder campaigns, consolidating data from PDB, UniProt, SAbDab and PubMed into an actionable evidence package to reduce manual research overhead.
Initiate a new design campaign by running the BY Research workflow to generate a target research plan.
High-intent search queries and answers about installing and using this skill.
Automating target research for an antibody design campaign involves using a structured 8-phase pipeline that retrieves and triangulates data from PDB, UniProt, SAbDab, and PubMed into an actionable evidence package, reducing manual literature review overhead.
Yes, you can resume an interrupted cross-database literature review mid-session using persistent memory, quality gates, and a race-safe progression log that allows recovery and progression from the exact checkpoint where you left off.
The best way to consolidate structural and literature data for epitope analysis is through a multi-source integration workflow that synthesizes evidence from PDB, UniProt, SAbDab, and PubMed into validated findings and structured design recommendations.
Yes, this antibody research pipeline outputs structured JSON files including scope.json, sources.json, validated_findings.json, and design_recommendation.json, explicitly designed to feed directly into downstream orchestration and campaign planning tools.
Manual prior art review for binder campaigns often suffers from fragmented data across PDB, UniProt, SAbDab, and PubMed, creating integration overhead that a structured, automated triangulation pipeline with explicit quality gates is designed to eliminate.
No, you do not need to manually check PDB and UniProt before starting target investigations, as the pipeline automatically retrieves and triangulates multi-source data during its initial phases to build comprehensive target profiles.
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001TMFQueries PDB, UniProt, and SAbDab via MCP servers to produce structured CSV outputs for target characterization and scaffold selection.
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