Literature DB >> 18624502

Electrostatic similarity of proteins: application of three dimensional spherical harmonic decomposition.

Maciej Długosz1, Joanna Trylska.   

Abstract

We present a method for describing and comparing global electrostatic properties of biomolecules based on the spherical harmonic decomposition of electrostatic potential data. Unlike other approaches our method does not require any prior three dimensional structural alignment. The electrostatic potential, given as a volumetric data set from a numerical solution of the Poisson or Poisson-Boltzmann equation, is represented with descriptors that are rotation invariant. The method can be applied to large and structurally diverse sets of biomolecules enabling to cluster them according to their electrostatic features.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18624502      PMCID: PMC2599930          DOI: 10.1063/1.2948414

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


  15 in total

1.  Classification of protein sequences by homology modeling and quantitative analysis of electrostatic similarity.

Authors:  N Blomberg; R R Gabdoulline; M Nilges; R C Wade
Journal:  Proteins       Date:  1999-11-15

2.  Structural alignment of ferredoxin and flavodoxin based on electrostatic potentials: implications for their interactions with photosystem I and ferredoxin-NADP reductase.

Authors:  G M Ullmann; M Hauswald; A Jensen; E W Knapp
Journal:  Proteins       Date:  2000-02-15

3.  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

Review 4.  The Poisson-Boltzmann equation for biomolecular electrostatics: a tool for structural biology.

Authors:  F Fogolari; A Brigo; H Molinari
Journal:  J Mol Recognit       Date:  2002 Nov-Dec       Impact factor: 2.137

5.  UCSF Chimera--a visualization system for exploratory research and analysis.

Authors:  Eric F Pettersen; Thomas D Goddard; Conrad C Huang; Gregory S Couch; Daniel M Greenblatt; Elaine C Meng; Thomas E Ferrin
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

6.  Poisson-Boltzmann analysis of the lambda repressor-operator interaction.

Authors:  M Zacharias; B A Luty; M E Davis; J A McCammon
Journal:  Biophys J       Date:  1992-11       Impact factor: 4.033

7.  Application of new multi-resolution methods for the comparison of biomolecular electrostatic properties in the absence of global structural similarity.

Authors:  Xiaoyu Zhang; Chandrajit L Bajaj; Bongjune Kwon; Todd J Dolinsky; Jens E Nielsen; Nathan A Baker
Journal:  Multiscale Model Simul       Date:  2006       Impact factor: 1.930

Review 8.  Construction of phylogenetic trees.

Authors:  W M Fitch; E Margoliash
Journal:  Science       Date:  1967-01-20       Impact factor: 47.728

Review 9.  Classical electrostatics in biology and chemistry.

Authors:  B Honig; A Nicholls
Journal:  Science       Date:  1995-05-26       Impact factor: 47.728

10.  Rapid similarity searches of nucleic acid and protein data banks.

Authors:  W J Wilbur; D J Lipman
Journal:  Proc Natl Acad Sci U S A       Date:  1983-02       Impact factor: 11.205

View more
  5 in total

1.  AESOP: A Python Library for Investigating Electrostatics in Protein Interactions.

Authors:  Reed E S Harrison; Rohith R Mohan; Ronald D Gorham; Chris A Kieslich; Dimitrios Morikis
Journal:  Biophys J       Date:  2017-05-09       Impact factor: 4.033

2.  Domain architecture evolution of pattern-recognition receptors.

Authors:  Qing Zhang; Christian M Zmasek; Adam Godzik
Journal:  Immunogenetics       Date:  2010-03-02       Impact factor: 2.846

3.  The interaction properties of the human Rab GTPase family--comparative analysis reveals determinants of molecular binding selectivity.

Authors:  Matthias Stein; Manohar Pilli; Sabine Bernauer; Bianca H Habermann; Marino Zerial; Rebecca C Wade
Journal:  PLoS One       Date:  2012-04-16       Impact factor: 3.240

4.  Electrostatically biased binding of kinesin to microtubules.

Authors:  Barry J Grant; Dana M Gheorghe; Wenjun Zheng; Maria Alonso; Gary Huber; Maciej Dlugosz; J Andrew McCammon; Robert A Cross
Journal:  PLoS Biol       Date:  2011-11-29       Impact factor: 8.029

5.  Electrostatic similarities between protein and small molecule ligands facilitate the design of protein-protein interaction inhibitors.

Authors:  Arnout Voet; Francois Berenger; Kam Y J Zhang
Journal:  PLoS One       Date:  2013-10-10       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.