Literature DB >> 18379638

"New-version-fast-multipole-method" accelerated electrostatic interactions in biomolecular systems.

Benzhuo Lu1, Xiaolin Cheng, J Andrew McCammon.   

Abstract

In this paper, we present an efficient and accurate numerical algorithm for calculating the electrostatic interactions in biomolecular systems. In our scheme, a boundary integral equation (BIE) approach is applied to discretize the linearized Poisson-Boltzmann (PB) equation. The resulting integral formulas are well conditioned for single molecule cases as well as for systems with more than one macromolecule, and are solved efficiently using Krylov subspace based iterative methods such as generalized minimal residual (GMRES) or bi-conjugate gradients stabilized (BiCGStab) methods. In each iteration, the convolution type matrix-vector multiplications are accelerated by a new version of the fast multipole method (FMM). The implemented algorithm is asymptotically optimal O(N) both in CPU time and memory usage with optimized prefactors. Our approach enhances the present computational ability to treat electrostatics of large scale systems in protein-protein interactions and nano particle assembly processes. Applications including calculating the electrostatics of the nicotinic acetylcholine receptor (nAChR) and interactions between protein Sso7d and DNA are presented.

Entities:  

Year:  2007        PMID: 18379638      PMCID: PMC2084081          DOI: 10.1016/j.jcp.2007.05.026

Source DB:  PubMed          Journal:  J Comput Phys        ISSN: 0021-9991            Impact factor:   3.553


  17 in total

1.  Rapid boundary element solvation electrostatics calculations in folding simulations: successful folding of a 23-residue peptide.

Authors:  M Totrov; R Abagyan
Journal:  Biopolymers       Date:  2001       Impact factor: 2.505

2.  Electrostatics of nanosystems: application to microtubules and the ribosome.

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Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

3.  Computation of electrostatic forces between solvated molecules determined by the Poisson-Boltzmann equation using a boundary element method.

Authors:  Benzhuo Lu; Deqiang Zhang; J Andrew McCammon
Journal:  J Chem Phys       Date:  2005-06-01       Impact factor: 3.488

4.  An accurate surface formulation for biomolecule electrostatics in non-ionic solutions.

Authors:  Michael Altman; Jaydeep Bardhan; Jacob White; Bruce Tidor
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

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Journal:  Annu Rev Biophys Biophys Chem       Date:  1990

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Journal:  Biophys J       Date:  1997-10       Impact factor: 4.033

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Journal:  J Mol Biol       Date:  1982-06-05       Impact factor: 5.469

9.  On the calculation of electrostatic interactions in proteins.

Authors:  M K Gilson; A Rashin; R Fine; B Honig
Journal:  J Mol Biol       Date:  1985-08-05       Impact factor: 5.469

Review 10.  Ion channels: structural bioinformatics and modelling.

Authors:  Charlotte E Capener; Hyun Ji Kim; Yalini Arinaminpathy; Mark S P Sansom
Journal:  Hum Mol Genet       Date:  2002-10-01       Impact factor: 6.150

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  6 in total

1.  AFMPB: An Adaptive Fast Multipole Poisson-Boltzmann Solver for Calculating Electrostatics in Biomolecular Systems.

Authors:  Benzhuo Lu; Xiaolin Cheng; Jingfang Huang; J Andrew McCammon
Journal:  Comput Phys Commun       Date:  2010-06-01       Impact factor: 4.390

2.  A Sixth-order Image Approximation to the Ionic Solvent Induced Reaction Field.

Authors:  Ming Xiang; Shaozhong Deng; Wei Cai
Journal:  J Sci Comput       Date:  2009-12-01       Impact factor: 2.592

3.  A Fast and Robust Poisson-Boltzmann Solver Based on Adaptive Cartesian Grids.

Authors:  Alexander H Boschitsch; Marcia O Fenley
Journal:  J Chem Theory Comput       Date:  2011-05-10       Impact factor: 6.006

4.  Staggered Mesh Ewald: An extension of the Smooth Particle-Mesh Ewald method adding great versatility.

Authors:  David S Cerutti; Robert E Duke; Thomas A Darden; Terry P Lybrand
Journal:  J Chem Theory Comput       Date:  2009-09-08       Impact factor: 6.006

5.  The de Rham-Hodge Analysis and Modeling of Biomolecules.

Authors:  Rundong Zhao; Menglun Wang; Jiahui Chen; Yiying Tong; Guo-Wei Wei
Journal:  Bull Math Biol       Date:  2020-08-08       Impact factor: 1.758

6.  Multi-core CPU or GPU-accelerated Multiscale Modeling for Biomolecular Complexes.

Authors:  Tao Liao; Yongjie Zhang; Peter M Kekenes-Huskey; Yuhui Cheng; Anushka Michailova; Andrew D McCulloch; Michael Holst; J Andrew McCammon
Journal:  Mol Based Math Biol       Date:  2013-07
  6 in total

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