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Supported Applications

Vina-CUDA

  • Description

    Vina-CUDA, QuickVina2-CUDA, and QuickVina-W-CUDA based on Vina-GPU 2.1, QuickVina2-GPU 2.1, and QuickVina-W-GPU 2.1 further enhance Vina-GPU 2.1 and its variants docking speed by optimizing its core algorithms through deep utilization of GPU hardware features, thereby reducing the cost of virtual screening and increasing the efficiency of drug design.

  • Usage

    To list all executables provided by Vina-CUDA, run: $ sbgrid-list vina-cuda Copy to clipboard

  • Installation

    Use the following command to install this title with the CLI client: $ sbgrid-cli install vina-cuda Copy to clipboard Available operating systems: Linux 64

  • Primary Citation*

    C. Li, Y. Wang, H. Xing, Y. Wang, Y. Wang, and J. Ye. 2025. Vina-CUDA: An Efficient Program with in-Depth Utilization of GPU to Accelerate Molecular Docking. Journal of chemical information and modeling. 65(10): 4751-4759.


    • *Full citation information available through

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