Literature DB >> 30853740

LAGUERRE-INTERSECTION METHOD FOR IMPLICIT SOLVATION.

Michelle Hatch Hummel1, Bihua Yu2, Carlos Simmerling3, Evangelos A Coutsias4.   

Abstract

Explicit solvent molecular dynamics simulations of a macromolecule are slow as the number of solvent atoms considered typically increases by order of magnitude. Implicit methods introduce surface-dependent corrections to the force field, gaining speed at the expense of accuracy. Properties such as molecular interface surfaces, volumes and cavities are captured by Laguerre tessellations of macromolecules. However, Laguerre cells of exterior atoms tend to be overly large or unbounded. Our method, the inclusion-exclusion based Laguerre-Intersection method, caps cells in a physically accurate manner by considering the intersection of the space-filling diagram with the Laguerre tessellation. We optimize an adjustable parameter, the weight, to ensure the areas and volumes of capped cells exposed to solvent are as close as possible, on average, to those computed from equilibrated explicit solvent simulations. The contact planes are radical planes, meaning that as the solvent weight is varied, interior cells remain constant. We test the consistency of our model using a high-quality trajectory of HIV-protease, a dimer with flexible loops and open-close transitions. We also compare our results with interval-arithmetic Gauss-Bonnet based method. Optimal solvent parameters quickly converge, which we use to illustrate the increased fidelity of the Laguerre-Intersection method over two recently proposed methods as compared to the explicit model.

Entities:  

Keywords:  Implicit Solvation; Laguerre tessellation; Voronoi tessellation

Year:  2018        PMID: 30853740      PMCID: PMC6407717          DOI: 10.1142/s0218195918500012

Source DB:  PubMed          Journal:  Int J Comput Geom Appl        ISSN: 0218-1959


  21 in total

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Journal:  Acc Chem Res       Date:  2000-12       Impact factor: 22.384

2.  Voronoï tessellation reveals the condensed matter character of folded proteins.

Authors:  A Soyer; J Chomilier; J P Mornon; R Jullien; J F Sadoc
Journal:  Phys Rev Lett       Date:  2000-10-16       Impact factor: 9.161

3.  Quantification of protein surfaces, volumes and atom-atom contacts using a constrained Voronoi procedure.

Authors:  B J McConkey; V Sobolev; M Edelman
Journal:  Bioinformatics       Date:  2002-10       Impact factor: 6.937

4.  Solvent viscosity dependence of the folding rate of a small protein: distributed computing study.

Authors:  Bojan Zagrovic; Vijay Pande
Journal:  J Comput Chem       Date:  2003-09       Impact factor: 3.376

5.  Intersurf: dynamic interface between proteins.

Authors:  Nicolas Ray; Xavier Cavin; Jean-Claude Paul; Bernard Maigret
Journal:  J Mol Graph Model       Date:  2005-01       Impact factor: 2.518

6.  The Amber biomolecular simulation programs.

Authors:  David A Case; Thomas E Cheatham; Tom Darden; Holger Gohlke; Ray Luo; Kenneth M Merz; Alexey Onufriev; Carlos Simmerling; Bing Wang; Robert J Woods
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

7.  HIV-1 protease flaps spontaneously open and reclose in molecular dynamics simulations.

Authors:  Viktor Hornak; Asim Okur; Robert C Rizzo; Carlos Simmerling
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-17       Impact factor: 11.205

8.  Revisiting the Voronoi description of protein-protein interfaces.

Authors:  Frédéric Cazals; Flavien Proust; Ranjit P Bahadur; Joël Janin
Journal:  Protein Sci       Date:  2006-09       Impact factor: 6.725

9.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

Authors:  Viktor Hornak; Robert Abel; Asim Okur; Bentley Strockbine; Adrian Roitberg; Carlos Simmerling
Journal:  Proteins       Date:  2006-11-15

10.  Protein-protein interfaces: properties, preferences, and projections.

Authors:  Jeffrey J Headd; Y E Andrew Ban; Paul Brown; Herbert Edelsbrunner; Madhuwanti Vaidya; Johannes Rudolph
Journal:  J Proteome Res       Date:  2007-06-02       Impact factor: 4.466

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