DeepAffinity
importedtherapeutics/deepaffinity
Protein-compound affinity prediction through unified RNN-CNN
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Shen-Lab/DeepAffinity
- Documentation
- unknown
- Tags
- attention-mechanism · drug-discovery · interpretable-deep-learning · protein · semi-supervised-learning
- 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.
- mprotonetinterpretable-deep-learning
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- mt-dtidrug-discovery · protein
An official Molecule Transformer Drug Target Interaction (MT-DTI) model
- AFPAPprotein
AlphaFold-based Protein Analysis Pipeline
- allmetal3dprotein
Metal and Water prediction
- ColabMDAprotein
User friendly molecular dynamics simulation combining Modeller, OpenMM and Google Colab: A complete guide
- Label-Propagationsemi-supervised-learning
Code for [COSMOS 2022 Challenge] Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis.
- api.github.com/repos/Shen-Lab/DeepAffinityretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-07-19, 154 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 →
/v1/entries/63.json→ .entries["deepaffinity"]
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