Target highlights in CASP14: analysis of models by structure providers

Alexander, Leila T. and Lepore, Rosalba and Kryshtafovych, Andriy and Adamopoulos, Athanassios and Alahuhta, Markus and Arvin, Ann M. and Bomble, Yannick J. and Böttcher, Bettina and Breyton, Cécile and Chiarini, Valerio and Chinnam, Naga Babu and Chiu, Wah and Fidelis, Krzysztof and Grinter, Rhys and Gupta, Gagan D. and Hartmann, Marcus D. and Hayes, Christopher S. and Heidebrecht, Tatjana and Ilari, Andrea and Joachimiak, Andrzej and Kim, Youngchang and Linares, Romain and Lovering, Andrew L. and Lunin, Vladimir V. and Lupas, Andrei N. and Makbul, Cihan and Michalska, Karolina and Moult, John and Mukherjee, Prasun K. and Nutt, William Sam and Oliver, Stefan L. and Perrakis, Anastassis and Stols, Lucy and Tainer, John A. and Topf, Maya and Tsutakawa, Susan E. and Valdivia-Delgado, Mauricio and Schwede, Torsten. (2021) Target highlights in CASP14: analysis of models by structure providers. Proteins: Structure, Function, and Bioinformatics . pp. 1-26.

Preview

PDF - Published Version
Available under License CC BY (Attribution).
12Mb

Official URL: https://edoc.unibas.ch/84743/

Downloads: Statistics Overview

Abstract

The biological and functional significance of selected CASP14 targets are described by the authors of the structures. The authors highlight the most relevant features of the target proteins and discuss how well these features were reproduced in the respective submitted predictions. The overall ability to predict three-dimensional structures of proteins has improved remarkably in CASP14, and many difficult targets were modelled with impressive accuracy. For the first time in the history of CASP, the experimentalists not only highlighted that computational models can accurately reproduce the most critical structural features observed in their targets, but also envisaged that models could serve as a guidance for further studies of biologically-relevant properties of proteins. 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 and Alexander, Leila Tamara
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
Identification Number:	doi: 10.1002/prot.26247 pmid: 34561912
edoc DOI:	10.5451/unibas-ep84743
Last Modified:	23 Nov 2021 11:04
Deposited On:	23 Nov 2021 11:04

Repository Staff Only: item control page