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OpenChem

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therapeutics/openchem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

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

record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
computational-biology · computational-chemistry · deep-learning · deep-neural-networks · drug-design · drug-discovery · graph-convolutional-networks · machine-learning
Regulatory
unknown
built by · 2

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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  • Compuchem_selflearn_resourcescomputational-chemistry · drug-design · drug-discovery

    A structured, community-driven learning hub for computational chemistry, covering foundations, methods, tools, practical workflows, and hands-on examples to help learners build a clear and…

  • DockM8computational-chemistry · drug-design · drug-discovery

    All in one Structure-Based Virtual Screening workflow based on the concept of consensus docking.

  • asapdiscoverycomputational-biology · computational-chemistry · drug-discovery

    Toolkit for open antiviral drug discovery by the ASAP Discovery Consortium

  • biosimspacecomputational-biology · computational-chemistry · drug-discovery

    An interoperable Python framework for biomolecular simulation.

sources
  1. api.github.com/repos/Mariewelt/OpenChem
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-11-26, 753 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/24.json→ .entries["openchem"]

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