Literature DB >> 17705271

Quantifying the relationship of protein burying depth and sequence.

Zheng Yuan1, Zhi-Xin Wang.   

Abstract

Protein burying depth (BD) is a structural descriptor that is exploited not only to find whether a residue is exposed or buried, but also to determine how deep a residue is buried. The widely used solvent accessible surface area is mainly focusing on the study of protein surface residues, while protein BD can provide more detailed information about the arrangement of buried residues, which may be used to study protein deep level structure and the formation of protein folding nucleus. In this work, we analyse the relationship of protein BD and sequences, and describe it by nonlinear functions estimated by support vector machines. We examine the functions by crossvalidation tests and find strong correlation between residue BD and local sequence environment. By further taking account the size of the molecule where a residue is located, we find that the correlation coefficient between predicted and observed depths improves from 0.60 to 0.65. Moreover, nearly half of the deepest 10% residues in a protein sequence can be correctly predicted. Our study suggests that a residue's burying extent is able to be predicted, to some degree, by itself and its local neighbouring residues. The methods used to estimate the sequence-depth functions are expected to become more useful in the investigation of protein structures and folding mechanism. (c) 2007 Wiley-Liss, Inc.

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Year:  2008        PMID: 17705271     DOI: 10.1002/prot.21545

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


  10 in total

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Journal:  J Comput Biol       Date:  2013-08-31       Impact factor: 1.479

2.  Dancing through Life: Molecular Dynamics Simulations and Network-Centric Modeling of Allosteric Mechanisms in Hsp70 and Hsp110 Chaperone Proteins.

Authors:  Gabrielle Stetz; Gennady M Verkhivker
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3.  Fast and Accurate Calculation of Protein Depth by Euclidean Distance Transform.

Authors:  Dong Xu; Hua Li; Yang Zhang
Journal:  Res Comput Mol Biol       Date:  2013

4.  Shape and evolution of thermostable protein structure.

Authors:  Ryan G Coleman; Kim A Sharp
Journal:  Proteins       Date:  2010-02-01

5.  DBAC: a simple prediction method for protein binding hot spots based on burial levels and deeply buried atomic contacts.

Authors:  Zhenhua Li; Limsoon Wong; Jinyan Li
Journal:  BMC Syst Biol       Date:  2011-06-20

6.  Sequence based residue depth prediction using evolutionary information and predicted secondary structure.

Authors:  Hua Zhang; Tuo Zhang; Ke Chen; Shiyi Shen; Jishou Ruan; Lukasz Kurgan
Journal:  BMC Bioinformatics       Date:  2008-09-20       Impact factor: 3.169

7.  Prediction of structural features and application to outer membrane protein identification.

Authors:  Renxiang Yan; Xiaofeng Wang; Lanqing Huang; Feidi Yan; Xiaoyu Xue; Weiwen Cai
Journal:  Sci Rep       Date:  2015-06-24       Impact factor: 4.379

8.  Prodepth: predict residue depth by support vector regression approach from protein sequences only.

Authors:  Jiangning Song; Hao Tan; Khalid Mahmood; Ruby H P Law; Ashley M Buckle; Geoffrey I Webb; Tatsuya Akutsu; James C Whisstock
Journal:  PLoS One       Date:  2009-09-17       Impact factor: 3.240

9.  Adepth: New Representation and its implications for atomic depths of macromolecules.

Authors:  Shu-wen W Chen; Jean-Luc Pellequer
Journal:  Nucleic Acids Res       Date:  2013-04-22       Impact factor: 16.971

10.  Dissecting Structure-Encoded Determinants of Allosteric Cross-Talk between Post-Translational Modification Sites in the Hsp90 Chaperones.

Authors:  Gabrielle Stetz; Amanda Tse; Gennady M Verkhivker
Journal:  Sci Rep       Date:  2018-05-02       Impact factor: 4.379

  10 in total

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