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Evaluation of the template-based modeling in CASP12

Kryshtafovych, Andriy and Monastyrskyy, Bohdan and Fidelis, Krzysztof and Moult, John and Schwede, Torsten and Tramontano, Anna. (2018) Evaluation of the template-based modeling in CASP12. Proteins, 86 Suppl 1. pp. 321-334.

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Official URL: https://edoc.unibas.ch/62570/

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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.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (Schwede)
UniBasel Contributors:Schwede, Torsten
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:1097-0134
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:28 Apr 2020 09:23
Deposited On:28 Apr 2020 09:23

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