Literature DB >> 15942918

Solving the Poisson-Boltzmann equation with the specialized computer chip MD-GRAPE-2.

Siegfried Höfinger1.   

Abstract

The accurate description of solvation effects is highly desirable in numerous computational chemistry applications. One widely used methodology treats the solvent as a uniform continuum ("implicit solvation"), and describes its net interaction with the solute by solving the Poisson-Boltzmann (PB) equation using the Boundary Element Method (BEM). These calculations are very time consuming using conventional computers. A new, efficient way of solving the PB equation on the special-purpose hardware chip MDGRAPE-2 is presented. The MDGRAPE-2 chip was originally developed to speed up the calculation of pairwise van der Waals and electrostatic interactions. By recasting the BEM equations and applying an iterative solution procedure, a hardware-accelerated PB solver on MDGRAPE-2 could be implemented. The performance and reliability of the method is demonstrated on three examples ranging from small peptides to large proteins, whereby the obtained acceleration factors range from 15-fold to up to 40-fold with no loss of accuracy compared to the conventional approach. (c) 2005 Wiley Periodicals, Inc.

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Year:  2005        PMID: 15942918     DOI: 10.1002/jcc.20250

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  4 in total

1.  Dispersion terms and analysis of size- and charge dependence in an enhanced Poisson-Boltzmann approach.

Authors:  Parimal Kar; Max Seel; Ulrich H E Hansmann; Siegfried Höfinger
Journal:  J Phys Chem B       Date:  2007-07-12       Impact factor: 2.991

2.  A critical beta6-beta7 loop in the pleckstrin homology domain of ceramide kinase.

Authors:  Philipp Rovina; Markus Jaritz; Siegfried Höfinger; Christine Graf; Piroska Dévay; Andreas Billich; Thomas Baumruker; Frédéric Bornancin
Journal:  Biochem J       Date:  2006-12-01       Impact factor: 3.857

Review 3.  Factors influencing the energetics of electron and proton transfers in proteins. What can be learned from calculations.

Authors:  M R Gunner; Junjun Mao; Yifan Song; Jinrang Kim
Journal:  Biochim Biophys Acta       Date:  2006-06-17

Review 4.  Mathematical and computational modeling in biology at multiple scales.

Authors:  Jack A Tuszynski; Philip Winter; Diana White; Chih-Yuan Tseng; Kamlesh K Sahu; Francesco Gentile; Ivana Spasevska; Sara Ibrahim Omar; Niloofar Nayebi; Cassandra Dm Churchill; Mariusz Klobukowski; Rabab M Abou El-Magd
Journal:  Theor Biol Med Model       Date:  2014-12-27       Impact factor: 2.432

  4 in total

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