Target highlights in CASP14 : Analysis of models by structure providers

DOI: 10.1002/prot.26247

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)