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docktgrid

imported

therapeutics/docktgrid

Generate customized voxel representations of protein-ligand complexes using GPU.

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

docktgrid project image
GitHub preview card for gmmsb-lncc/docktgrid. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
LGPL-3.0(osi)
Status
maintained
Maturity
deployed
Organization
gmmsb-lncc
Country
unknown
Homepage
docktgrid.readthedocs.io
Repository
github.com/gmmsb-lncc/docktgrid
Documentation
unknown
Tags
binding-affinity · deep-learning · molecular-docking · scoring-functions · virtual-screening · voxel-grid
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.

  • docktdeepbinding-affinity · molecular-docking · scoring-functions

    CNN-based protein-ligand scoring function.

  • CompassDockbinding-affinity · molecular-docking

    Official Implementation of CompassDock

  • hybridock-pepbinding-affinity · molecular-docking

    Hybrid peptide docking: RAPiDock diffusion sampling + physics-based rescoring (iGEM 2026)

  • gnina-torchscoring-functions

    🔥 PyTorch implementation of GNINA scoring function for molecular docking

  • FBKdockmolecular-docking · virtual-screening

    FBKdock: fully automated end-to-end molecular docking pipeline (protein preparation, redocking RMSD validation, virtual screening) powered by Vina-GPU / AutoDock Vina.

  • labodockmolecular-docking · virtual-screening

    LABODOCK: A Colab-Based Molecular Docking Tools

sources
  1. api.github.com/repos/gmmsb-lncc/docktgrid
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-09-08, 11 stars, license reported as LGPL-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/18.json→ .entries["docktgrid"]

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