PLAPT
importedtherapeutics/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.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- Bindwell
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Bindwell/PLAPT
- Documentation
- unknown
- Tags
- drug-discovery · protein-ligand-binding-affinity · state-of-the-art · transformer-models · transformers
- Regulatory
- unknown
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.
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
- smiles-gptdrug-discovery · transformers
Generative Pre-Training from Molecules
- DrugGentransformers
DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
- AgileFormertransformers
This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"
- HiFormertransformers
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)
- Medical-Transformertransformers
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
- api.github.com/repos/Bindwell/PLAPTretrieved 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 →
/v1/entries/20.json→ .entries["plapt"]
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