Literature DB >> 21857870

FPGA acceleration of rigid-molecule docking codes.

B Sukhwani1, M C Herbordt.   

Abstract

Modelling the interactions of biological molecules, or docking, is critical both to understanding basic life processes and to designing new drugs. The field programmable gate array (FPGA) based acceleration of a recently developed, complex, production docking code is described. The authors found that it is necessary to extend their previous three-dimensional (3D) correlation structure in several ways, most significantly to support simultaneous computation of several correlation functions. The result for small-molecule docking is a 100-fold speed-up of a section of the code that represents over 95% of the original run-time. An additional 2% is accelerated through a previously described method, yielding a total acceleration of 36× over a single core and 10× over a quad-core. This approach is found to be an ideal complement to graphics processing unit (GPU) based docking, which excels in the protein-protein domain.

Entities:  

Year:  2010        PMID: 21857870      PMCID: PMC3157052          DOI: 10.1049/iet-cdt.2009.0013

Source DB:  PubMed          Journal:  IET Comput Digit Tech        ISSN: 1751-8601            Impact factor:   0.818


  13 in total

1.  A systematic study of low-resolution recognition in protein--protein complexes.

Authors:  I A Vakser; O G Matar; C F Lam
Journal:  Proc Natl Acad Sci U S A       Date:  1999-07-20       Impact factor: 11.205

2.  Protein docking using spherical polar Fourier correlations.

Authors:  D W Ritchie; G J Kemp
Journal:  Proteins       Date:  2000-05-01

3.  Situs: A package for docking crystal structures into low-resolution maps from electron microscopy.

Authors:  W Wriggers; R A Milligan; J A McCammon
Journal:  J Struct Biol       Date:  1999 Apr-May       Impact factor: 2.867

4.  ClusPro: an automated docking and discrimination method for the prediction of protein complexes.

Authors:  Stephen R Comeau; David W Gatchell; Sandor Vajda; Carlos J Camacho
Journal:  Bioinformatics       Date:  2004-01-01       Impact factor: 6.937

5.  A novel shape complementarity scoring function for protein-protein docking.

Authors:  Rong Chen; Zhiping Weng
Journal:  Proteins       Date:  2003-05-15

6.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Authors:  Richard A Friesner; Jay L Banks; Robert B Murphy; Thomas A Halgren; Jasna J Klicic; Daniel T Mainz; Matthew P Repasky; Eric H Knoll; Mee Shelley; Jason K Perry; David E Shaw; Perry Francis; Peter S Shenkin
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

7.  Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.

Authors:  E Katchalski-Katzir; I Shariv; M Eisenstein; A A Friesem; C Aflalo; I A Vakser
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-15       Impact factor: 11.205

8.  Identification of hot spots within druggable binding regions by computational solvent mapping of proteins.

Authors:  Melissa R Landon; David R Lancia; Jessamin Yu; Spencer C Thiel; Sandor Vajda
Journal:  J Med Chem       Date:  2007-02-17       Impact factor: 7.446

9.  Modelling protein docking using shape complementarity, electrostatics and biochemical information.

Authors:  H A Gabb; R M Jackson; M J Sternberg
Journal:  J Mol Biol       Date:  1997-09-12       Impact factor: 5.469

10.  A geometric approach to macromolecule-ligand interactions.

Authors:  I D Kuntz; J M Blaney; S J Oatley; R Langridge; T E Ferrin
Journal:  J Mol Biol       Date:  1982-10-25       Impact factor: 5.469

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  2 in total

1.  GPU Optimizations for a Production Molecular Docking Code.

Authors:  Raphael Landaverde; Martin C Herbordt
Journal:  IEEE Conf High Perform Extreme Comput       Date:  2014-09

2.  Benchmarking the Performance of Irregular Computations in AutoDock-GPU Molecular Docking.

Authors:  Leonardo Solis-Vasquez; Andreas F Tillack; Diogo Santos-Martins; Andreas Koch; Scott LeGrand; Stefano Forli
Journal:  Parallel Comput       Date:  2021-11-11       Impact factor: 0.986

  2 in total

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