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biosimspace

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therapeutics/biosimspace

An interoperable Python framework for biomolecular simulation.

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

record
Category
Therapeutics
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
OpenBioSim
Country
unknown
Documentation
unknown
Tags
biomolecular-simulation · computational-biology · computational-chemistry · computational-physics · drug-discovery · free-energy-calculations · interoperability · molecular-dynamics
Regulatory
unknown
built by · 6

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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    A Python-based library to perform IFD and MM/GBSA calculations on different targets using a polypharmacological approach.

  • litmattercomputational-chemistry · drug-discovery · molecular-dynamics

    Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.

  • icsg3dcomputational-chemistry · computational-physics

    3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)

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

    Toolkit for open antiviral drug discovery by the ASAP Discovery Consortium

  • dock6computational-biology · computational-chemistry · drug-discovery

    DOCK6 is a molecular docking program.

sources
  1. api.github.com/repos/OpenBioSim/biosimspace
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 168 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/38.json→ .entries["biosimspace"]

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