Target highlights in CASP14 : Analysis of models by structure providers

Autor: John A. Tainer, Youngchang Kim, Andrei N. Lupas, Athanassios Adamopoulos, Karolina Michalska, Rhys Grinter, Rosalba Lepore, Andrea Ilari, Anastassis Perrakis, Christopher S. Hayes, Leila Tamara Alexander, Torsten Schwede, Cécile Breyton, Prasun K. Mukherjee, Wah Chiu, Mauricio Valdivia-Delgado, Maya Topf, Markus Alahuhta, Susan E. Tsutakawa, Marcus D. Hartmann, Yannick J. Bomble, Valerio Chiarini, Cihan Makbul, Tatjana Heidebrecht, Andrew L. Lovering, William Sam Nutt, Gagan D. Gupta, Bettina Böttcher, John Moult, Andriy Kryshtafovych, Andrzej Joachimiak, Lucy Stols, Ann M. Arvin, Naga Babu Chinnam, Vladimir V. Lunin, Stefan L. Oliver, Romain Linares, Krzysztof Fidelis
Přispěvatelé: Center for Cellular Imaging and Nano Analytics (C-CINA), University of Basel (Unibas), Department of Physics [Roma La Sapienza], Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Genome Center [UC Davis], University of California [Davis] (UC Davis), University of California-University of California, University of Würzburg = Universität Würzburg, Institut de biologie structurale (IBS - UMR 5075), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA), Institute of Biotechnology, Dipartimento di Fisica [Roma La Sapienza], Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), University of California (UC)-University of California (UC)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Models
Molecular

Computer science
Protein Conformation
PROTEIN
Crystallography
X-Ray

Biochemistry
Mathematical Sciences
PHASE-I TRIAL
Sequence Analysis
Protein

Structural Biology
Models
CRYSTAL-STRUCTURE
HEPATITIS-B VIRIONS
0303 health sciences
Computational model
Crystallography
[SDV.BBM.BS]Life Sciences [q-bio]/Biochemistry
Molecular Biology/Structural Biology [q-bio.BM]

030302 biochemistry & molecular biology
Protein structure prediction
Biological Sciences
BASE J
CASP
Functional significance
Sequence Analysis
Bioinformatics
DNA-BINDING
VARICELLA-ZOSTER-VIRUS
Computational biology
CASP
Protein structure prediction

03 medical and health sciences
Information and Computing Sciences
community-wide experiment
cryo-EM
protein structure prediction
X-ray crystallography
Amino Acid Sequence
Computational Biology
Cryoelectron Microscopy
Proteins
Software
Molecular Biology
030304 developmental biology
Structure (mathematical logic)
Protein
GROWTH-INHIBITION CDI
HERPES-SIMPLEX-VIRUS
Molecular
GLYCOPROTEIN-B
X-Ray
1182 Biochemistry
cell and molecular biology
Zdroj: Proteins-Structure, Function and Bioinformatics
Proteins-Structure, Function and Bioinformatics, Wiley, In press, ⟨10.1002/prot.26247⟩
Proteins, vol 89, iss 12
Proteins-Structure, Function and Bioinformatics, In press, ⟨10.1002/prot.26247⟩
ISSN: 0887-3585
1097-0134
Popis: International audience; 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.
Databáze: OpenAIRE