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peleke

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therapeutics/peleke

🦋 peleke-1: Protein Language Models for Targeted Antibody Design

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

peleke project image
GitHub preview card for silicobio/peleke. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
silicobio
Country
unknown
Documentation
unknown
Tags
ai · antibody-antigen-interaction · antibody-design · antibody-language-model · drug-discovery · llm · plm · protein-language-model
Regulatory
unknown
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.

  • ablanxantibody-design · drug-discovery · protein-language-model

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

  • PharmaCoredrug-discovery · protein-language-model

    AI drug discovery on Apple Silicon. De novo generation + drug repurposing. 100% local, no cloud, fully auditable.

  • blatant-whyantibody-design · drug-discovery

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

  • boltzgenantibody-design · drug-discovery

    BoltzGen: Toward Universal Binder Design

  • dyMEANantibody-design · drug-discovery

    This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"

  • MEANantibody-design · drug-discovery

    This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.

sources
  1. api.github.com/repos/silicobio/peleke
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-18, 8 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

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/v1/entries/25.json→ .entries["peleke"]

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