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BarlowDTI

imported

therapeutics/barlowdti

Accurate prediction of drug–target interactions in drug discovery.

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

BarlowDTI project image
GitHub preview card for maxischuh/BarlowDTI. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
GPL-3.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
drug-discovery · drug-target-interactions · machine-learning
Regulatory
unknown
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.

  • 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

sources
  1. api.github.com/repos/maxischuh/BarlowDTI
    retrieved 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 →

machine-readable

/v1/entries/19.json→ .entries["barlowdti"]

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