DeltaGroupNJUPT / Vina-GPU-2.0

Vina-GPU 2.0 accelerates AutoDock Vina and its related commonly derived docking methods, such as QuickVina 2 and QuickVina-W with GPUs.

Vina-GPU 2.0

[NEWS] We have released Vina-GPU 2.1, which provides more speed targeting on virtual screening!

Vina-GPU 2.0 accelerates AutoDock Vina and its related commonly derived docking methods, such as QuickVina 2 and QuickVina-W with GPUs. Vina-GPU 2.0 includes the following three docking methods,including Vina-GPU+,QuickVina 2-GPU and QuickVina-W-GPU.

Vina-GPU+

Vina-GPU+ further accelerates Vina-GPU and facilitates single receptor-multi-ligand docking. The compile and run process is described in here.

If you would like to develop and build Vina-GPU+ from source please look at README.md(https://github.com/DeltaGroupNJUPT/Vina-GPU-2.0/blob/main/Vina-GPU%2B/README.md).

QuickVina 2-GPU

The compile and run process is described in here.

QuickVina-W-GPU

The compile and run process is described in here.

Graphic User Interface (GUI)

A graphic user interface (GUI) is provided for users on Windows OS

1. first make sure that Vina-GPU2.0.exe can run on a terminal
2. put the Vina-GPU2.0.exe and all .bin formatted files in ./Vina-GPU-2.0/GUI/exec and overwrite the original files
3. run the Vina-GPU2.0.exefile within ./Vina-GPU-2.0/GUI to start up the Vina-GPU 2.0 GUI
4. select docking methods
5. select the input and output files
6. set the box center, the box size, thread and search_depth
7. click the start button to run Vina-GPU 2.o
8. click score button to get docking scores

Citation

• Ding, Ji et al. “Vina-GPU 2.0: Further Accelerating AutoDock Vina and Its Derivatives with Graphics Processing Units.” Journal of chemical information and modeling vol. 63,7 (2023): 1982-1998. doi:10.1021/acs.jcim.2c01504
• Tang, Shidi et al. “Accelerating AutoDock Vina with GPUs.” Molecules (Basel, Switzerland) vol. 27,9 3041. 9 May. 2022, doi:10.3390/molecules27093041