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DeepDrugDomain

imported

therapeutics/deepdrugdomain

DeepDrugDomain: A versatile Python toolkit for streamlined preprocessing and accurate prediction of drug-target interactions and binding affinities, leveraging deep learning for advancing…

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

DeepDrugDomain project image
GitHub preview card for yazdanimehdi/DeepDrugDomain. 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 · drug-discovery · drug-repurposing · drug-target-affinity · drug-target-interactions
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.

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    ExplainBind: Explainable Physicochemical Determinants of Protein–Ligand Binding via Non-Covalent Interactions

  • VAERHNNdrug-discovery · drug-repurposing · drug-target-interactions

    Voting-averaged ensemble regression and hybrid neural networks to investigate potent leads against colorectal cancer

  • ivpganbioinformatics · drug-discovery · drug-target-interactions

    Integrated View Predictive GAN for Drug-Target Indication Prediction

  • CANDObioinformatics · drug-discovery · drug-repurposing

    Computational Analysis of Novel Drug Opportunities

  • DeepPurposebioinformatics · drug-discovery · drug-repurposing

    A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

sources
  1. api.github.com/repos/yazdanimehdi/DeepDrugDomain
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-10-22, 29 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/53.json→ .entries["deepdrugdomain"]

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