BarlowDTI
importedtherapeutics/barlowdti
Accurate prediction of drug–target interactions in drug discovery.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/maxischuh/BarlowDTI
- Documentation
- unknown
- Tags
- drug-discovery · drug-target-interactions · machine-learning
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- BindingAffinitydrug-discovery · drug-target-interactions
Exploring deep learning for predicting the binding affinity between a small molecule (i.e. a drug) and a protein.
- CompassDockdrug-discovery · drug-target-interactions
Official Implementation of CompassDock
- DeepDrugDomaindrug-discovery · drug-target-interactions
DeepDrugDomain: A versatile Python toolkit for streamlined preprocessing and accurate prediction of drug-target interactions and binding affinities, leveraging deep learning for advancing…
- DrugGENdrug-discovery · drug-target-interactions
Official implementation of DrugGEN: Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
- hyper-dtidrug-discovery · drug-target-interactions
HyperPCM: Robust task-conditioned modeling of drug-target interactions
- ISCMFdrug-discovery · drug-target-interactions
ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction
- api.github.com/repos/maxischuh/BarlowDTIretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-12-09, 11 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/19.json→ .entries["barlowdti"]
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