GPU linear and non-linear Poisson-Boltzmann solver module for DelPhi

Bioinformatics. 2014 Feb 15;30(4):569-70. doi: 10.1093/bioinformatics/btt699. Epub 2013 Nov 30.

Abstract

Summary: In this work, we present a CUDA-based GPU implementation of a Poisson-Boltzmann equation solver, in both the linear and non-linear versions, using double precision. A finite difference scheme is adopted and made suitable for the GPU architecture. The resulting code was interfaced with the electrostatics software for biomolecules DelPhi, which is widely used in the computational biology community. The algorithm has been implemented using CUDA and tested over a few representative cases of biological interest. Details of the implementation and performance test results are illustrated. A speedup of ~10 times was achieved both in the linear and non-linear cases.

Availability and implementation: The module is open-source and available at http://www.electrostaticszone.eu/index.php/downloads.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms*
  • Amidohydrolases / chemistry*
  • Computational Biology / methods*
  • Humans
  • Nonlinear Dynamics
  • Software*
  • Static Electricity

Substances

  • Amidohydrolases
  • fatty-acid amide hydrolase