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PepGLAD

imported

therapeutics/pepglad

Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)

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

PepGLAD project image
GitHub preview card for THUNLP-MT/PepGLAD. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
THUNLP-MT
Country
unknown
Documentation
unknown
Tags
drug-discovery · generative-ai · peptide-design · protein-design
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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  • boltzgendrug-discovery · peptide-design

    BoltzGen: Toward Universal Binder Design

  • pepdesigndrug-discovery · peptide-design

    A modular, extensible peptide design pipeline with target preparation, backbone generation, sequence design, scoring, and ranking. Full local CPU pipeline, and backend hooks for RFpeptides,…

  • AI-4-structural-biologydrug-discovery · protein-design

    A living research map of AI resources for structural biology, biomolecular modeling, and drug development.

  • APCycdrug-discovery · protein-design

    Autonomous cyclization and property-aware design for cyclic peptides.

  • drug-discovery-agent-skillsdrug-discovery · protein-design

    Agent Skills for small-molecule and protein therapeutics: cheminformatics, molecular ML, docking and dynamics, protein design platforms, and target-discovery knowledge graphs.

sources
  1. api.github.com/repos/THUNLP-MT/PepGLAD
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-04-16, 129 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/44.json→ .entries["pepglad"]

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