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blatant-why

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therapeutics/blatant-why

AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.

Machine-generated from the listed sources and not yet reviewed by a human.

blatant-why project image
GitHub preview card for 001TMF/blatant-why. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
ai-agent · antibody-design · boltzgen · claude-code · computational-biology · drug-discovery · mcp-server · protein-engineering
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • structure-factorycomputational-biology · drug-discovery · protein-engineering

    AI-agent toolkit for structural biology: design binders, map structures, screen candidates, rank results, and prepare cloud-scale runs.

  • ablanxantibody-design · computational-biology · drug-discovery

    JAX/Flax port of AbLang2's AbRep encoder: differentiable antibody language-model embeddings and per-block attention, loading the original weights unchanged.

  • ALKYLai-agent · claude-code · drug-discovery

    Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning

  • AAVGendrug-discovery · protein-engineering

    Protein Language model for AAV capsid generation.

  • protein-mcp-serverai-agent · drug-discovery · mcp-server

    Federated protein structure & annotation across experimental (PDB) and predicted (AlphaFold) models via MCP. STDIO or Streamable HTTP.

sources
  1. api.github.com/repos/001TMF/blatant-why
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-21, 104 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/48.json→ .entries["blatant-why"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.