Literature DB >> 18704933

Protein cutoff scanning: A comparative analysis of cutoff dependent and cutoff free methods for prospecting contacts in proteins.

Carlos H da Silveira1, Douglas E V Pires, Raquel C Minardi, Cristina Ribeiro, Caio J M Veloso, Julio C D Lopes, Wagner Meira, Goran Neshich, Carlos H I Ramos, Raul Habesch, Marcelo M Santoro.   

Abstract

In this study, we carried out a comparative analysis between two classical methodologies to prospect residue contacts in proteins: the traditional cutoff dependent (CD) approach and cutoff free Delaunay tessellation (DT). In addition, two alternative coarse-grained forms to represent residues were tested: using alpha carbon (CA) and side chain geometric center (GC). A database was built, comprising three top classes: all alpha, all beta, and alpha/beta. We found that the cutoff value at about 7.0 A emerges as an important distance parameter. Up to 7.0 A, CD and DT properties are unified, which implies that at this distance all contacts are complete and legitimate (not occluded). We also have shown that DT has an intrinsic missing edges problem when mapping the first layer of neighbors. In proteins, it may produce systematic errors affecting mainly the contact network in beta chains with CA. The almost-Delaunay (AD) approach has been proposed to solve this DT problem. We found that even AD may not be an advantageous solution. As a consequence, in the strict range up to 7.0 A, the CD approach revealed to be a simpler, more complete, and reliable technique than DT or AD. Finally, we have shown that coarse-grained residue representations may introduce bias in the analysis of neighbors in cutoffs up to 6.8 A, with CA favoring alpha proteins and GC favoring beta proteins. This provides an additional argument pointing to the value of 7.0 A as an important lower bound cutoff to be used in contact analysis of proteins. (c) 2008 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 18704933     DOI: 10.1002/prot.22187

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  31 in total

1.  Analysis of core-periphery organization in protein contact networks reveals groups of structurally and functionally critical residues.

Authors:  Arnold Emerson Isaac; Sitabhra Sinha
Journal:  J Biosci       Date:  2015-10       Impact factor: 1.826

Review 2.  Computational approaches to study the effects of small genomic variations.

Authors:  Kamil Khafizov; Maxim V Ivanov; Olga V Glazova; Sergei P Kovalenko
Journal:  J Mol Model       Date:  2015-09-08       Impact factor: 1.810

3.  The shadow map: a general contact definition for capturing the dynamics of biomolecular folding and function.

Authors:  Jeffrey K Noel; Paul C Whitford; José N Onuchic
Journal:  J Phys Chem B       Date:  2012-05-11       Impact factor: 2.991

4.  Relative stability of de novo four-helix bundle proteins: insights from coarse grained molecular simulations.

Authors:  Giovanni Bellesia; Andrew I Jewett; Joan-Emma Shea
Journal:  Protein Sci       Date:  2011-03-30       Impact factor: 6.725

5.  Universality in protein residue networks.

Authors:  Ernesto Estrada
Journal:  Biophys J       Date:  2010-03-03       Impact factor: 4.033

6.  Alignment of distantly related protein structures: algorithm, bound and implications to homology modeling.

Authors:  Sheng Wang; Jian Peng; Jinbo Xu
Journal:  Bioinformatics       Date:  2011-07-26       Impact factor: 6.937

7.  Small Conformational Changes Underlie Evolution of Resistance to NNRTI in HIV Reverse Transcriptase.

Authors:  Ashutosh Srivastava; Varun Birari; Somdatta Sinha
Journal:  Biophys J       Date:  2020-04-16       Impact factor: 4.033

8.  CSM-lig: a web server for assessing and comparing protein-small molecule affinities.

Authors:  Douglas E V Pires; David B Ascher
Journal:  Nucleic Acids Res       Date:  2016-05-05       Impact factor: 16.971

9.  VERMONT: Visualizing mutations and their effects on protein physicochemical and topological property conservation.

Authors:  Sabrina A Silveira; Alexandre V Fassio; Valdete M Gonçalves-Almeida; Raquel C de Melo-Minardi; Elisa B de Lima; Yussif T Barcelos; Flávia F Aburjaile; Laerte M Rodrigues; Wagner Meira
Journal:  BMC Proc       Date:  2014-08-28

Review 10.  Insights from coarse-grained Gō models for protein folding and dynamics.

Authors:  Ronald D Hills; Charles L Brooks
Journal:  Int J Mol Sci       Date:  2009-03-02       Impact factor: 6.208

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.