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hyper-dti

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therapeutics/hyper-dti

HyperPCM: Robust task-conditioned modeling of drug-target interactions

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

hyper-dti project image
GitHub preview card for ml-jku/hyper-dti. 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
ml-jku
Country
unknown
Homepage
unknown
Repository
github.com/ml-jku/hyper-dti
Documentation
unknown
Tags
deep-learning · drug-discovery · drug-target-interactions · hypernetworks · proteochemometrics · pytorch
Regulatory
unknown
built by · 1

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.

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.

  • paccmann_sarscov2drug-discovery · proteochemometrics

    Code for paper on automation of discovery and synthesis of targeted molecules: https://iopscience.iop.org/article/10.1088/2632-2153/abe808

  • PCMoldrug-discovery · proteochemometrics

    Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.

  • MT-ENetdrug-discovery · drug-target-interactions · pytorch

    Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022

  • chembl-downloaderproteochemometrics

    Write reproducible code for getting and processing ChEMBL

  • 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.

sources
  1. api.github.com/repos/ml-jku/hyper-dti
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-10-01, 38 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/7.json→ .entries["hyper-dti"]

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