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PLAPT

imported

therapeutics/plapt

Codebase and CLI for PLAPT: A state-of-the-art protein-ligand binding affinity model for drug discovery

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

PLAPT project image
GitHub preview card for Bindwell/PLAPT. 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
Bindwell
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
drug-discovery · protein-ligand-binding-affinity · state-of-the-art · transformer-models · transformers
Regulatory
unknown
built by · 6

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.

  • PocketVinadrug-discovery · protein-ligand-binding-affinity

    GPU-accelerated protein-ligand docking with automated pocket detection, exploring through multi-pocket conditioning. Official Implementation of PocketVina

  • DETRtimetransformer-models

    DETRtime, a framework for time-series segmentation

  • radiology-ai-sotastate-of-the-art

    Comprehensive State-of-the-Art (SOTA) documentation for AI in Radiology, covering foundation models like Pillar-0, Merlin, MedGemma, CheXagent, and MedImageInsight

  • moleculegen-mldrug-discovery · transformers

    Generate novel molecules using neural language models

  • smiles-gptdrug-discovery · transformers

    Generative Pre-Training from Molecules

  • DrugGentransformers

    DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback

sources
  1. api.github.com/repos/Bindwell/PLAPT
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-03-27, 119 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/20.json→ .entries["plapt"]

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