Literature DB >> 12649427

Prediction of protein domain boundaries from sequence alone.

Oxana V Galzitskaya1, Bogdan S Melnik.   

Abstract

We present here a simple approach to identify domain boundaries in proteins of an unknown three-dimensional structure. Our method is based on the hypothesis that a high-side chain entropy of a region in a protein chain must be compensated by a high-residue interaction energy within the region, which could correlate with a well-structured part of the globule, that is, with a domain unit. For protein domains, this means that the domain boundary is conditioned by amino acid residues with a small value of side chain entropy, which correlates with the side chain size. On the one hand, relatively high Ala and Gly content on the domain boundary results in high conformational entropy of the backbone chain between the domains. On the other hand, the presence of Pro residues leads to the formation of hinges for a relative orientation of domains. The method was applied to 646 proteins with two contiguous domains extracted from the SCOP database with a success rate of 63%. We also report the prediction of domain boundaries for CASP5 targets obtained with the same method.

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Year:  2003        PMID: 12649427      PMCID: PMC2323849          DOI: 10.1110/ps.0233103

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  19 in total

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Authors:  O V Galzitskaya; A K Surin; H Nakamura
Journal:  Protein Sci       Date:  2000-03       Impact factor: 6.725

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Journal:  Protein Sci       Date:  1995-05       Impact factor: 6.725

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Journal:  Protein Sci       Date:  1994-03       Impact factor: 6.725

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  14 in total

1.  Domain structure of Lassa virus L protein.

Authors:  Linda Brunotte; Michaela Lelke; Meike Hass; Katja Kleinsteuber; Beate Becker-Ziaja; Stephan Günther
Journal:  J Virol       Date:  2010-10-27       Impact factor: 5.103

2.  β-Strand-mediated interactions of protein domains.

Authors:  Archana S Bhat; Lisa N Kinch; Nick V Grishin
Journal:  Proteins       Date:  2020-07-11

3.  ThreaDomEx: a unified platform for predicting continuous and discontinuous protein domains by multiple-threading and segment assembly.

Authors:  Yan Wang; Jian Wang; Ruiming Li; Qiang Shi; Zhidong Xue; Yang Zhang
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

4.  DomSVR: domain boundary prediction with support vector regression from sequence information alone.

Authors:  Peng Chen; Chunmei Liu; Legand Burge; Jinyan Li; Mahmood Mohammad; William Southerland; Clay Gloster; Bing Wang
Journal:  Amino Acids       Date:  2010-02-18       Impact factor: 3.520

5.  HangOut: generating clean PSI-BLAST profiles for domains with long insertions.

Authors:  Bong-Hyun Kim; Qian Cong; Nick V Grishin
Journal:  Bioinformatics       Date:  2010-04-22       Impact factor: 6.937

6.  OPUS-Dom: applying the folding-based method VECFOLD to determine protein domain boundaries.

Authors:  Yinghao Wu; Athanasios D Dousis; Mingzhi Chen; Jialin Li; Jianpeng Ma
Journal:  J Mol Biol       Date:  2008-11-10       Impact factor: 5.469

7.  Improved general regression network for protein domain boundary prediction.

Authors:  Paul D Yoo; Abdur R Sikder; Bing Bing Zhou; Albert Y Zomaya
Journal:  BMC Bioinformatics       Date:  2008       Impact factor: 3.169

Review 8.  Folding by numbers: primary sequence statistics and their use in studying protein folding.

Authors:  Brent Wathen; Zongchao Jia
Journal:  Int J Mol Sci       Date:  2009-04-08       Impact factor: 6.208

9.  BCL::Fold--de novo prediction of complex and large protein topologies by assembly of secondary structure elements.

Authors:  Mert Karakaş; Nils Woetzel; Rene Staritzbichler; Nathan Alexander; Brian E Weiner; Jens Meiler
Journal:  PLoS One       Date:  2012-11-16       Impact factor: 3.240

10.  DomHR: accurately identifying domain boundaries in proteins using a hinge region strategy.

Authors:  Xiao-yan Zhang; Long-jian Lu; Qi Song; Qian-qian Yang; Da-peng Li; Jiang-ming Sun; Tong-hua Li; Pei-sheng Cong
Journal:  PLoS One       Date:  2013-04-11       Impact factor: 3.240

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