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Proteins Structure Function and Bioinformatics
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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CASP 11 target classification

Authors: Kinch, Lisa N; Li, Wenlin; Schaeffer, R Dustin; Dunbrack, Roland L; Monastyrskyy, Bohdan; Kryshtafovych, Andriy; Grishin, Nick V;

CASP 11 target classification

Abstract

ABSTRACTProtein 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.

Country
United States
Keywords

Models, Molecular, Protein Structure, Secondary, Protein Folding, CASP11, structure analogs, Bioinformatics, International Cooperation, 610, Sequence Homology, Mathematical sciences, template-based modeling, fold space, Mathematical Sciences, Protein Structure, Secondary, free modeling, Databases, Models, Information and Computing Sciences, Computer Graphics, Animals, Humans, Bacteriophages, Protein Interaction Domains and Motifs, protein structure, Databases, Protein, Models, Statistical, Sequence Homology, Amino Acid, Protein, Molecular, Computational Biology, Proteins, Biological Sciences, Statistical, structure prediction, sequence homologs, Amino Acid, Biological sciences, classification, Biochemistry and Cell Biology, Protein Multimerization, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
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bronze