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AutoDock-GPU

imported

therapeutics/autodock-gpu

AutoDock for GPUs and other accelerators

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

record
Category
Therapeutics
Subcategory
unknown
License
GPL-2.0(osi)
Status
active
Maturity
deployed
Organization
ccsb-scripps
Country
unknown
Documentation
unknown
Tags
autodock4 · cuda · gpu-computing · molecular-docking · multicore-cpu · opencl
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.

  • reproduce-parcosi-moleculardockingcuda · molecular-docking · opencl

    Reproducing paper: "Benchmarking the Performance of Irregular Computations in AutoDock-GPU Molecular Docking"

  • FASTgpu-computing · opencl

    A framework for high-performance medical image processing, neural network inference and visualization

  • GPU_SVL_latticecuda · gpu-computing

    Spatially Variant Lattice using GPU

  • pyvsnrgpu-computing

    A Python library for computing the VSNR in 2D images. It provides both CPU and GPU implementations.

  • CATEcuda

    A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests and viral simulations at scale. Related manuscripts: https://doi.org/10.1111/2041-210X.14168 and…

  • cucimcuda

    cuCIM - RAPIDS GPU-accelerated image processing library

sources
  1. api.github.com/repos/ccsb-scripps/AutoDock-GPU
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-17, 606 stars, license reported as GPL-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/34.json→ .entries["autodock-gpu"]

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