Literature DB >> 14978714

Importance of solvent accessibility and contact surfaces in modeling side-chain conformations in proteins.

Eran Eyal1, Rafael Najmanovich, Brendan J McConkey, Marvin Edelman, Vladimir Sobolev.   

Abstract

Contact surface area and chemical properties of atoms are used to concurrently predict conformations of multiple amino acid side chains on a fixed protein backbone. The combination of surface complementarity and solvent-accessible surface accounts for van der Waals forces and solvation free energy. The scoring function is particularly suitable for modeling partially buried side chains. Both iterative and stochastic searching approaches are used. Our programs (Sccomp-I and Sccomp-S), with relatively fast execution times, correctly predict chi1 angles for 92-93% of buried residues and 82-84% for all residues, with an RMSD of approximately 1.7 A for side chain heavy atoms. We find that the differential between the atomic solvation parameters and the contact surface parameters (including those between noncomplementary atoms) is positive; i.e., most protein atoms prefer surface contact with other protein atoms rather than with the solvent. This might correspond to the driving force for maximizing packing of the protein. The influence of the crystal packing, completeness of rotamer library and precise positioning of Cbeta atoms on the accuracy of side-chain prediction are examined. The Sccomp-S and Sccomp-I programs can be accessed through the Web (http://sgedg.weizmann.ac.il/sccomp.html) and are available for several platforms. Copyright 2004 Wiley Periodicals, Inc. J Comput Chem 25: 712-724, 2004

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 14978714     DOI: 10.1002/jcc.10420

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  50 in total

1.  SIDEpro: a novel machine learning approach for the fast and accurate prediction of side-chain conformations.

Authors:  Ken Nagata; Arlo Randall; Pierre Baldi
Journal:  Proteins       Date:  2011-11-09

2.  A structural model for unfolded proteins from residual dipolar couplings and small-angle x-ray scattering.

Authors:  Pau Bernadó; Laurence Blanchard; Peter Timmins; Dominique Marion; Rob W H Ruigrok; Martin Blackledge
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-11       Impact factor: 11.205

Review 3.  Advances in homology protein structure modeling.

Authors:  Zhexin Xiang
Journal:  Curr Protein Pept Sci       Date:  2006-06       Impact factor: 3.272

4.  Prediction of side-chain conformations on protein surfaces.

Authors:  Zhexin Xiang; Peter J Steinbach; Matthew P Jacobson; Richard A Friesner; Barry Honig
Journal:  Proteins       Date:  2007-03-01

5.  Sequence-specific solvent accessibilities of protein residues in unfolded protein ensembles.

Authors:  Pau Bernadó; Martin Blackledge; Javier Sancho
Journal:  Biophys J       Date:  2006-09-29       Impact factor: 4.033

6.  Prediction of protein structural classes using hybrid properties.

Authors:  Wenjin Li; Kao Lin; Kaiyan Feng; Yudong Cai
Journal:  Mol Divers       Date:  2008-10-25       Impact factor: 2.943

7.  OPUS-Rota: a fast and accurate method for side-chain modeling.

Authors:  Mingyang Lu; Athanasios D Dousis; Jianpeng Ma
Journal:  Protein Sci       Date:  2008-06-12       Impact factor: 6.725

8.  Structure of tumor suppressor p53 and its intrinsically disordered N-terminal transactivation domain.

Authors:  Mark Wells; Henning Tidow; Trevor J Rutherford; Phineus Markwick; Malene Ringkjobing Jensen; Efstratios Mylonas; Dmitri I Svergun; Martin Blackledge; Alan R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-07       Impact factor: 11.205

9.  A self-consistent description of the conformational behavior of chemically denatured proteins from NMR and small angle scattering.

Authors:  Pau Bernadó; Martin Blackledge
Journal:  Biophys J       Date:  2009-11-18       Impact factor: 4.033

10.  p15PAF is an intrinsically disordered protein with nonrandom structural preferences at sites of interaction with other proteins.

Authors:  Alfredo De Biasio; Alain Ibáñez de Opakua; Tiago N Cordeiro; Maider Villate; Nekane Merino; Nathalie Sibille; Moreno Lelli; Tammo Diercks; Pau Bernadó; Francisco J Blanco
Journal:  Biophys J       Date:  2014-02-18       Impact factor: 4.033

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.