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Welcome to the AutoDock-GPU wiki!

AutoDock-GPU is an OpenCL implementation of AutoDock LGA.

Main project is hosted under: https://ccsb.scripps.edu/autodock

Features

AutoDock-GPU leverages the embarrassingly parallelism of AutoDock LGA, by processing ligand-receptor poses in parallel over multiple compute units on a GPU device.

Besides the legacy Solis-Wets local search method, AutoDock-GPU adds newly implemented local-search methods based on gradients of the scoring function.

One of these methods, ADADELTA, has proven to increase significantly the docking quality in terms of scores and RMSDs.

License

AutoDock-GPU is released under the GNU GPL v2 and GNU LGPL v2.1 licenses. See details.

Guidelines

• Users
• Developers

Citation

A paper describing the OpenCL implementation and evaluation of AutoDock-GPU is available on the Journal of Chemical Theory and Computation

If you find AutoDock-GPU useful for your work, please cite it as:

@article{autodockgpu,
  title={Accelerating autodock4 with gpus and gradient-based local search},
  author={Santos-Martins, Diogo and Solis-Vasquez, Leonardo and Tillack, Andreas F and Sanner, Michel F and Koch, Andreas and Forli, Stefano},
  journal={Journal of Chemical Theory and Computation},
  year={2019},
  publisher={ACS Publications}
}

The preprint preceeding this publication is available on ChemRxiv using an earlier version (v1.1) of AutoDock-GPU.

A full list of publications is available here.

Support

If you encounter any issues or have any questions, please use any of the following:

• The GitHub issues page: https://github.com/ccsb-scripps/AutoDock-GPU/issues

You can also contact the main developers via email:

• Diogo Santos-Martins: [email protected]
• Leonardo Solis-Vasquez: [email protected]
• Andreas Tillack: [email protected]