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Target highlights in CASP14 : Analysis of models by structure providers
Authors:
Leila T.
Alexander
(University of Basel; SIB Swiss Institute of Bioinformatics)
,
Rosalba
Lepore
(Barcelona Supercomputing Center (BSC))
,
Andriy
Kryshtafovych
(University of California, Davis)
,
Athanasios
Adamopoulos
(Netherlands Cancer Institute)
,
Markus
Alahuhta
(National Renewable Energy Laboratory)
,
Ann M.
Arvin
(Stanford University; Stanford University School of Medicin)
,
Yannick J.
Bomble
(National Renewable Energy Laboratory)
,
Bettina
Böttcher
(Julius-Maximilians Universität Würzburg)
,
Cécile
Breyton
(Univ. Grenoble Alpes, CNRS, CEA, Institute for Structural Biology)
,
Valerio
Chiarini
(University of Helsinki)
,
Naga Babu
Chinnam
(The University of Texas M.D. Anderson Cancer Center)
,
Wah
Chiu
(Stanford University School of Medicine; SLAC National Accelerator Laboratory)
,
Krzysztof
Fidelis
(University of California, Davis)
,
Rhys
Grinter
(Monash University)
,
Gagan D.
Gupta
(Bhabha Atomic Research Centre)
,
Marcus D.
Hartmann
(Max Planck Institute for Developmental Biology)
,
Christopher S.
Hayes
(University of California, Santa Barbara)
,
Tatjana
Heidebrecht
(Netherlands Cancer Institute)
,
Andrea
Ilari
(Institute of Molecular Biology and Pathology of the National Research Council of Italy (CNR))
,
Andrzej
Joachimiak
(University of Chicago; Argonne National Laboratory)
,
Youngchang
Kim
(University of Chicago; Argonne National Laboratory)
,
Romain
Linares
(Univ. Grenoble Alpes, CNRS, CEA, Institute for Structural Biology)
,
Andrew L.
Lovering
(University of Birmingham)
,
Vladimir V.
Lunin
(National Renewable Energy Laboratory)
,
Andrei N.
Lupas
(Max Planck Institute for Developmental Biology)
,
Cihan
Makbul
(Julius-Maximilians Universität Würzburg)
,
Karolina
Michalska
(University of Chicago; Argonne National Laboratory)
,
John
Moult
(University of Maryland)
,
Prasun K.
Mukherjee
(Bhabha Atomic Research Centre)
,
William
Nutt
(University of Chicago; Argonne National Laboratory)
,
Stefan L.
Oliver
(Stanford University School of Medicine)
,
Anastassis
Perrakis
(Netherlands Cancer Institute)
,
Lucy
Stols
(University of Chicago; Argonne National Laboratory)
,
John A.
Tainer
(The University of Texas M.D. Anderson Cancer Center)
,
Maya
Topf
(University College London; Leibniz-Institut für Experimentelle Virologie)
,
Susan E.
Tsutakawa
(Lawrence Berkeley National Laboratory)
,
Mauricio
Valdivia‐delgado
(University of Birmingham)
,
Torsten
Schwede
(University of Basel; SIB Swiss Institute of Bioinformatics)
Co-authored by industrial partner:
No
Type:
Journal Paper
Journal:
Proteins: Structure, Function, And Bioinformatics
, VOL 89
, PAGES 1647 - 1672
State:
Published (Approved)
Published:
December 2021

Abstract: The biological and functional significance of selected Critical Assessment of Techniques for Protein Structure Prediction 14 (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 modeled 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.
Journal Keywords: CASP; community-wide experiment; cryo-EM; protein structure prediction; X-ray crystallography
Subject Areas:
Biology and Bio-materials
Instruments:
I03-Macromolecular Crystallography
Added On:
06/12/2021 14:33
Discipline Tags:
Structural biology
Life Sciences & Biotech
Technical Tags:
Diffraction
Macromolecular Crystallography (MX)