Literature DB >> 16187361

Evaluation of domain prediction in CASP6.

Chin-Hsien Tai1, Woei-Jyh Lee, James J Vincent, Byungkook Lee.   

Abstract

We present an analysis of the domain boundary prediction, a new category, in the sixth community-wide experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP6). There were 1011 predictions submitted for 63 targets. Each prediction was compared to the set of domains defined manually by visual inspection of the experimental structure. The comparison was scored using a new domain prediction scoring scheme. As the definition of a domain is subjective, many targets were assigned alternate definitions. For such targets, each prediction was compared with all different definitions and the best score was chosen. The predictors found it difficult to accurately predict domain boundaries when the target protein contained many domains or domains made of multiple sequence segments. The CBRC-DR (P0536) and Sternberg (P0237) groups were the most successful among human experts, while Baker-Rossettadom (P0353) and Baker-Robetta-Ginzu (P0421) did well among servers. 2005 Wiley-Liss, Inc.

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Mesh:

Year:  2005        PMID: 16187361     DOI: 10.1002/prot.20736

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


  17 in total

1.  An automatic method for CASP9 free modeling structure prediction assessment.

Authors:  Qian Cong; Lisa N Kinch; Jimin Pei; Shuoyong Shi; Vyacheslav N Grishin; Wenlin Li; Nick V Grishin
Journal:  Bioinformatics       Date:  2011-10-12       Impact factor: 6.937

2.  Protein domain assignment from the recurrence of locally similar structures.

Authors:  Chin-Hsien Tai; Vichetra Sam; Jean-Francois Gibrat; Jean Garnier; Peter J Munson; Byungkook Lee
Journal:  Proteins       Date:  2010-12-22

3.  Structure prediction of domain insertion proteins from structures of individual domains.

Authors:  Monica Berrondo; Marc Ostermeier; Jeffrey J Gray
Journal:  Structure       Date:  2008-04       Impact factor: 5.006

4.  Deep-learning contact-map guided protein structure prediction in CASP13.

Authors:  Wei Zheng; Yang Li; Chengxin Zhang; Robin Pearce; S M Mortuza; Yang Zhang
Journal:  Proteins       Date:  2019-08-14

5.  FUpred: detecting protein domains through deep-learning-based contact map prediction.

Authors:  Wei Zheng; Xiaogen Zhou; Qiqige Wuyun; Robin Pearce; Yang Li; Yang Zhang
Journal:  Bioinformatics       Date:  2020-06-01       Impact factor: 6.937

6.  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

7.  Prediction of protein domain boundaries from inverse covariances.

Authors:  Michael I Sadowski
Journal:  Proteins       Date:  2012-10-16

8.  Synonymous codon usage influences the local protein structure observed.

Authors:  Rhodri Saunders; Charlotte M Deane
Journal:  Nucleic Acids Res       Date:  2010-06-08       Impact factor: 16.971

9.  Critical assessment of methods of protein structure prediction-Round VII.

Authors:  John Moult; Krzysztof Fidelis; Andriy Kryshtafovych; Burkhard Rost; Tim Hubbard; Anna Tramontano
Journal:  Proteins       Date:  2007

10.  ThreaDom: extracting protein domain boundary information from multiple threading alignments.

Authors:  Zhidong Xue; Dong Xu; Yan Wang; Yang Zhang
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

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