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MolDockLab

imported

therapeutics/moldocklab

MolDockLab is a data-driven workflow developed to identify the best balanced consensus Structure-Based Virtual Screening (SBVS) workflow for a target of interest.

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
volkamerlab
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
consensus-docking · molecular-docking · sbvs · virtual-screening
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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  • labodockmolecular-docking · virtual-screening

    LABODOCK: A Colab-Based Molecular Docking Tools

  • pyscreenermolecular-docking · virtual-screening

    pythonic interface to virtual screening software

  • scip-dockingfactory-bundlemolecular-docking · virtual-screening

    Docking Factory is a tool to automate molecular docking runs on an HPC cluster using the Dask framework. DockingFactory provides unified way of running molecular docking with different software…

  • scip-sminamolecular-docking · virtual-screening

    Smina is fork of AutoDock Vina that is customized to better support scoring function development and high-performance energy minimization. smina is maintained by David Koes at the University of…

  • CDPKitvirtual-screening

    The Chemical Data Processing Toolkit

sources
  1. api.github.com/repos/volkamerlab/MolDockLab
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-28, 10 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/19.json→ .entries["moldocklab"]

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