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Critical assessment of methods of protein structure prediction (CASP)-Round XIV

Kryshtafovych, Andriy and Schwede, Torsten and Topf, Maya and Fidelis, Krzysztof and Moult, John. (2021) Critical assessment of methods of protein structure prediction (CASP)-Round XIV. Proteins: Structure, Function, and Bioinformatics , 89 (12). pp. 1607-1617.

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Official URL: https://edoc.unibas.ch/84744/

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Abstract

Critical assessment of structure prediction (CASP) is a community experiment to advance methods of computing three-dimensional protein structure from amino acid sequence. Core components are rigorous blind testing of methods and evaluation of the results by independent assessors. In the most recent experiment (CASP14), deep-learning methods from one research group consistently delivered computed structures rivaling the corresponding experimental ones in accuracy. In this sense, the results represent a solution to the classical protein-folding problem, at least for single proteins. The models have already been shown to be capable of providing solutions for problematic crystal structures, and there are broad implications for the rest of structural biology. Other research groups also substantially improved performance. Here, we describe these results and outline some of the many implications. Other related areas of CASP, including modeling of protein complexes, structure refinement, estimation of model accuracy, and prediction of inter-residue contacts and distances, are also described.
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
Publisher:Wiley-Blackwell
ISSN:0887-3585
e-ISSN:1097-0134
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Language:English
Identification Number:
edoc DOI:
Last Modified:21 Feb 2022 11:17
Deposited On:21 Feb 2022 11:17

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