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Evaluation of the template-based modeling in CASP12
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4055362
Author(s) Kryshtafovych, Andriy; Monastyrskyy, Bohdan; Fidelis, Krzysztof; Moult, John; Schwede, Torsten; Tramontano, Anna
Author(s) at UniBasel Schwede, Torsten
Year 2018
Title Evaluation of the template-based modeling in CASP12
Journal Proteins
Volume 86 Suppl 1
Pages / Article-Number 321-334
Mesh terms Computational Biology, methods; Databases, Protein; Humans; Models, Molecular; Models, Statistical; Protein Conformation; Proteins, chemistry; Sequence Alignment; Sequence Analysis, Protein
Abstract The paper describes results of numerical evaluation of CASP12 models submitted on targets for which structural templates could be identified and for which servers produced models of relatively high accuracy. The emphasis is on analysis of details of models, and how well the models compete with experimental structures. Performance of contributing research groups is measured in terms of backbone accuracy, all-atom local geometry, and the ability to estimate local errors in models. Separate analyses for all participating groups and automatic servers were carried out. Compared with the last CASP, two years ago, there have been significant improvements in a number of areas, particularly the accuracy of protein backbone atoms, accuracy of sequence alignment between models and available structures, increased accuracy over that which can be obtained from simple copying of a closest template, and accuracy of modeling of sub-structures not present in the closest template. These advancements are likely associated with more effective strategies to build non-template regions of the targets ab initio, better algorithms to combine information from multiple templates, enhanced refinement methods, and better methods for estimating model accuracy. This article is protected by copyright. All rights reserved.
Publisher WILEY
ISSN/ISBN 1097-0134
edoc-URL https://edoc.unibas.ch/62570/
Full Text on edoc No
Digital Object Identifier DOI 10.1002/prot.25425
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/29159950
ISI-Number WOS:000425523000028
Document type (ISI) Journal Article
 
   

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03/05/2024