Literature DB >> 19044802

An analytical approach to computing biomolecular electrostatic potential. I. Derivation and analysis.

Andrew T Fenley1, John C Gordon, Alexey Onufriev.   

Abstract

Analytical approximations to fundamental equations of continuum electrostatics on simple shapes can lead to computationally inexpensive prescriptions for calculating electrostatic properties of realistic molecules. Here, we derive a closed-form analytical approximation to the Poisson equation for an arbitrary distribution of point charges and a spherical dielectric boundary. The simple, parameter-free formula defines continuous electrostatic potential everywhere in space and is obtained from the exact infinite-series (Kirkwood) solution by an approximate summation method that avoids truncating the infinite series. We show that keeping all the terms proves critical for the accuracy of this approximation, which is fully controllable for the sphere. The accuracy is assessed by comparisons with the exact solution for two unit charges placed inside a spherical boundary separating the solute of dielectric 1 and the solvent of dielectric 80. The largest errors occur when the source charges are closest to the dielectric boundary and the test charge is closest to either of the sources. For the source charges placed within 2 A from the boundary, and the test surface located on the boundary, the root-mean-square error of the approximate potential is less than 0.1 kcal/mol/mid R:emid R: (per unit test charge). The maximum error is 0.4 kcal/mol/mid R:emid R:. These results correspond to the simplest first-order formula. A strategy for adopting the proposed method for realistic biomolecular shapes is detailed. An extensive testing and performance analysis on real molecular structures are described in Part II that immediately follows this work as a separate publication. Part II also contains an application example.

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Year:  2008        PMID: 19044802      PMCID: PMC2671191          DOI: 10.1063/1.2956497

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  37 in total

1.  Tanford-Kirkwood electrostatics for protein modeling.

Authors:  J J Havranek; P B Harbury
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-28       Impact factor: 11.205

Review 2.  Generalized born models of macromolecular solvation effects.

Authors:  D Bashford; D A Case
Journal:  Annu Rev Phys Chem       Date:  2000       Impact factor: 12.703

3.  pH dependence of stability of staphylococcal nuclease: evidence of substantial electrostatic interactions in the denatured state.

Authors:  S T Whitten; B García-Moreno E
Journal:  Biochemistry       Date:  2000-11-21       Impact factor: 3.162

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

Authors:  N A Baker; D Sept; S Joseph; M J Holst; J A McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

5.  Accelerated Poisson-Boltzmann calculations for static and dynamic systems.

Authors:  Ray Luo; Laurent David; Michael K Gilson
Journal:  J Comput Chem       Date:  2002-10       Impact factor: 3.376

6.  All-atom structure prediction and folding simulations of a stable protein.

Authors:  Carlos Simmerling; Bentley Strockbine; Adrian E Roitberg
Journal:  J Am Chem Soc       Date:  2002-09-25       Impact factor: 15.419

7.  Free energy surfaces of beta-hairpin and alpha-helical peptides generated by replica exchange molecular dynamics with the AGBNP implicit solvent model.

Authors:  Anthony K Felts; Yuichi Harano; Emilio Gallicchio; Ronald M Levy
Journal:  Proteins       Date:  2004-08-01

8.  Protein stability: electrostatics and compact denatured states.

Authors:  D Stigter; D O Alonso; K A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  1991-05-15       Impact factor: 11.205

9.  Interpretation of protein titration curves. Application to lysozyme.

Authors:  C Tanford; R Roxby
Journal:  Biochemistry       Date:  1972-05-23       Impact factor: 3.162

10.  Calculations of enzymatic reactions: calculations of pKa, proton transfer reactions, and general acid catalysis reactions in enzymes.

Authors:  A Warshel
Journal:  Biochemistry       Date:  1981-05-26       Impact factor: 3.162

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  11 in total

1.  Accelerating electrostatic surface potential calculation with multi-scale approximation on graphics processing units.

Authors:  Ramu Anandakrishnan; Tom R W Scogland; Andrew T Fenley; John C Gordon; Wu-chun Feng; Alexey V Onufriev
Journal:  J Mol Graph Model       Date:  2010-06       Impact factor: 2.518

2.  Multiscale analytic continuation approach to nanosystem simulation: applications to virus electrostatics.

Authors:  Abhishek Singharoy; Anastasia M Yesnik; Peter Ortoleva
Journal:  J Chem Phys       Date:  2010-05-07       Impact factor: 3.488

Review 3.  Progress in the prediction of pKa values in proteins.

Authors:  Emil Alexov; Ernest L Mehler; Nathan Baker; António M Baptista; Yong Huang; Francesca Milletti; Jens Erik Nielsen; Damien Farrell; Tommy Carstensen; Mats H M Olsson; Jana K Shen; Jim Warwicker; Sarah Williams; J Michael Word
Journal:  Proteins       Date:  2011-10-15

4.  An N log N approximation based on the natural organization of biomolecules for speeding up the computation of long range interactions.

Authors:  Ramu Anandakrishnan; Alexey V Onufriev
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

Review 5.  Biomolecular electrostatics and solvation: a computational perspective.

Authors:  Pengyu Ren; Jaehun Chun; Dennis G Thomas; Michael J Schnieders; Marcelo Marucho; Jiajing Zhang; Nathan A Baker
Journal:  Q Rev Biophys       Date:  2012-11       Impact factor: 5.318

6.  Gradient Models in Molecular Biophysics: Progress, Challenges, Opportunities.

Authors:  Jaydeep P Bardhan
Journal:  J Mech Behav Mater       Date:  2013-12

7.  A New and Efficient Poisson-Boltzmann Solver for Interaction of Multiple Proteins.

Authors:  Eng-Hui Yap; Teresa Head-Gordon
Journal:  J Chem Theory Comput       Date:  2010-06-17       Impact factor: 6.006

8.  A strategy for reducing gross errors in the generalized Born models of implicit solvation.

Authors:  Alexey V Onufriev; Grigori Sigalov
Journal:  J Chem Phys       Date:  2011-04-28       Impact factor: 3.488

9.  Bluues: a program for the analysis of the electrostatic properties of proteins based on generalized Born radii.

Authors:  Federico Fogolari; Alessandra Corazza; Vijaylakshmi Yarra; Anusha Jalaru; Paolo Viglino; Gennaro Esposito
Journal:  BMC Bioinformatics       Date:  2012-03-28       Impact factor: 3.169

10.  Multi-dimensional characterization of electrostatic surface potential computation on graphics processors.

Authors:  Mayank Daga; Wu-Chun Feng
Journal:  BMC Bioinformatics       Date:  2012-04-12       Impact factor: 3.169

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