↓ Skip to main content

PLOS

Fast Docking on Graphics Processing Units via Ray-Casting

Overview of attention for article published in PLOS ONE, August 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
41 Mendeley
Title
Fast Docking on Graphics Processing Units via Ray-Casting
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0070661
Pubmed ID
Authors

Karen R. Khar, Lukasz Goldschmidt, John Karanicolas

Abstract

Docking Approach using Ray Casting (DARC) is structure-based computational method for carrying out virtual screening by docking small-molecules into protein surface pockets. In a complementary study we find that DARC can be used to identify known inhibitors from large sets of decoy compounds, and can identify new compounds that are active in biochemical assays. Here, we describe our adaptation of DARC for use on Graphics Processing Units (GPUs), leading to a speedup of approximately 27-fold in typical-use cases over the corresponding calculations carried out using a CPU alone. This dramatic speedup of DARC will enable screening larger compound libraries, screening with more conformations of each compound, and including multiple receptor conformations when screening. We anticipate that all three of these enhanced approaches, which now become tractable, will lead to improved screening results.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 5%
Norway 1 2%
Canada 1 2%
Japan 1 2%
United States 1 2%
Unknown 35 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 10 24%
Student > Bachelor 7 17%
Student > Master 6 15%
Professor 3 7%
Other 5 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 24%
Agricultural and Biological Sciences 8 20%
Engineering 6 15%
Chemistry 6 15%
Computer Science 5 12%
Other 6 15%