Literature DB >> 26756794

CASP 11 target classification.

Lisa N Kinch1, Wenlin Li2,3, R Dustin Schaeffer4, Roland L Dunbrack5, Bohdan Monastyrskyy6, Andriy Kryshtafovych6, Nick V Grishin4,2,3.   

Abstract

Protein target structures for the Critical Assessment of Structure Prediction round 11 (CASP11) and CASP ROLL were split into domains and classified into categories suitable for assessment of template-based modeling (TBM) and free modeling (FM) based on their evolutionary relatedness to existing structures classified by the Evolutionary Classification of Protein Domains (ECOD) database. First, target structures were divided into domain-based evaluation units. Target splits were based on the domain organization of available templates as well as the performance of servers on whole targets compared to split target domains. Second, evaluation units were classified into TBM and FM categories using a combination of measures that evaluate prediction quality and template detectability. Generally, target domains with sequence-related templates and good server prediction performance were classified as TBM, whereas targets without sequence-identifiable templates and low server performance were classified as FM. As in previous CASP experiments, the boundaries for classification were blurred due to the presence of significant insertions and deteriorations in the targets with respect to homologous templates, as well as the presence of templates with partial coverage of new folds. The FM category included 45 target domains, which represents an unprecedented number of difficult CASP targets provided for modeling. Proteins 2016; 84(Suppl 1):20-33.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  CASP11; classification; fold space; free modeling; protein structure; sequence homologs; structure analogs; structure prediction; template-based modeling

Mesh:

Substances:

Year:  2016        PMID: 26756794      PMCID: PMC4940306          DOI: 10.1002/prot.24982

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


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1.  SCOP: a structural classification of proteins database.

Authors:  L Lo Conte; B Ailey; T J Hubbard; S E Brenner; A G Murzin; C Chothia
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Review 2.  Review: proteins with repeated sequence--structural prediction and modeling.

Authors:  A V Kajava
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5.  Nucleation, rapid folding, and globular intrachain regions in proteins.

Authors:  D B Wetlaufer
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Review 6.  The anatomy and taxonomy of protein structure.

Authors:  J S Richardson
Journal:  Adv Protein Chem       Date:  1981

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7.  Assessment of CASP11 contact-assisted predictions.

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8.  Target classification in the 14th round of the critical assessment of protein structure prediction (CASP14).

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9.  Estimation of Uncertainties in the Global Distance Test (GDT_TS) for CASP Models.

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