Literature DB >> 17237112

Electrostatic potentials of proteins in water: a structured continuum approach.

Andreas Hildebrandt1, Ralf Blossey, Sergej Rjasanow, Oliver Kohlbacher, Hans-Peter Lenhof.   

Abstract

Electrostatic interactions play a crucial role in many biomolecular processes, including molecular recognition and binding. Biomolecular electrostatics is modulated to a large extent by the water surrounding the molecules. Here, we present a novel approach to the computation of electrostatic potentials which allows the inclusion of water structure into the classical theory of continuum electrostatics. Based on our recent purely differential formulation of nonlocal electrostatics [Hildebrandt, et al. (2004) Phys. Rev. Lett., 93, 108104] we have developed a new algorithm for its efficient numerical solution. The key component of this algorithm is a boundary element solver, having the same computational complexity as established boundary element methods for local continuum electrostatics. This allows, for the first time, the computation of electrostatic potentials and interactions of large biomolecular systems immersed in water including effects of the solvent's structure in a continuum description. We illustrate the applicability of our approach with two examples, the enzymes trypsin and acetylcholinesterase. The approach is applicable to all problems requiring precise prediction of electrostatic interactions in water, such as protein-ligand and protein-protein docking, folding and chromatin regulation. Initial results indicate that this approach may shed new light on biomolecular electrostatics and on aspects of molecular recognition that classical local electrostatics cannot reveal.

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Year:  2007        PMID: 17237112     DOI: 10.1093/bioinformatics/btl312

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

1.  Nonlocal Electrostatics in Spherical Geometries Using Eigenfunction Expansions of Boundary-Integral Operators.

Authors:  Jaydeep P Bardhan; Matthew G Knepley; Peter Brune
Journal:  Mol Based Math Biol       Date:  2015-01

2.  BALL--biochemical algorithms library 1.3.

Authors:  Andreas Hildebrandt; Anna Katharina Dehof; Alexander Rurainski; Andreas Bertsch; Marcel Schumann; Nora C Toussaint; Andreas Moll; Daniel Stöckel; Stefan Nickels; Sabine C Mueller; Hans-Peter Lenhof; Oliver Kohlbacher
Journal:  BMC Bioinformatics       Date:  2010-10-25       Impact factor: 3.169

3.  A new approach to the selectivity of ion channels: nonlocal electrostatic consideration.

Authors:  A A Rubashkin; P Iserovich
Journal:  Dokl Biochem Biophys       Date:  2007 Nov-Dec       Impact factor: 0.788

4.  Minimizing frustration by folding in an aqueous environment.

Authors:  Carla Mattos; A Clay Clark
Journal:  Arch Biochem Biophys       Date:  2007-07-14       Impact factor: 4.013

5.  Charge density distributions derived from smoothed electrostatic potential functions: design of protein reduced point charge models.

Authors:  Laurence Leherte; Daniel P Vercauteren
Journal:  J Comput Aided Mol Des       Date:  2011-09-14       Impact factor: 3.686

6.  Experimental charge density from electron microscopic maps.

Authors:  Jimin Wang
Journal:  Protein Sci       Date:  2017-05-31       Impact factor: 6.725

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

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

8.  Biochemical and biophysical analysis of five disease-associated human adenylosuccinate lyase mutants.

Authors:  Lushanti De Zoysa Ariyananda; Peychii Lee; Christina Antonopoulos; Roberta F Colman
Journal:  Biochemistry       Date:  2009-06-16       Impact factor: 3.162

9.  Assessing the performance of implicit solvation models at a nucleic acid surface.

Authors:  Feng Dong; Jason A Wagoner; Nathan A Baker
Journal:  Phys Chem Chem Phys       Date:  2008-07-07       Impact factor: 3.676

10.  Electrostatic potential of human immunodeficiency virus type 2 and rhesus macaque simian immunodeficiency virus capsid proteins.

Authors:  Katarzyna Bozek; Emi E Nakayama; Ken Kono; Tatsuo Shioda
Journal:  Front Microbiol       Date:  2012-06-05       Impact factor: 5.640

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