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ivpgan

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therapeutics/ivpgan

Integrated View Predictive GAN for Drug-Target Indication Prediction

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

ivpgan project image
GitHub preview card for bbrighttaer/ivpgan. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bioinformatics · deep-learning · drug-discovery · drug-target-interactions · multi-view-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.

  • DeepDrugDomainbioinformatics · drug-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…

  • ISCMFbioinformatics · drug-discovery · drug-target-interactions

    ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction

  • BarlowDTIdrug-discovery · drug-target-interactions

    Accurate prediction of drug–target interactions in drug discovery.

  • 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

  • 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

sources
  1. api.github.com/repos/bbrighttaer/ivpgan
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2019-11-20, 9 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/12.json→ .entries["ivpgan"]

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