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Target highlights in CASP14: Analysis of models by structure providers.
Alexander, Leila T; Lepore, Rosalba; Kryshtafovych, Andriy; Adamopoulos, Athanassios; Alahuhta, Markus; Arvin, Ann M; Bomble, Yannick J; Böttcher, Bettina; Breyton, Cécile; Chiarini, Valerio; Chinnam, Naga Babu; Chiu, Wah; Fidelis, Krzysztof; Grinter, Rhys; Gupta, Gagan D; Hartmann, Marcus D; Hayes, Christopher S; Heidebrecht, Tatjana; Ilari, Andrea; Joachimiak, Andrzej; Kim, Youngchang; Linares, Romain; Lovering, Andrew L; Lunin, Vladimir V; Lupas, Andrei N; Makbul, Cihan; Michalska, Karolina; Moult, John; Mukherjee, Prasun K; Nutt, William Sam; Oliver, Stefan L; Perrakis, Anastassis; Stols, Lucy; Tainer, John A; Topf, Maya; Tsutakawa, Susan E; Valdivia-Delgado, Mauricio; Schwede, Torsten.
Afiliação
  • Alexander LT; Biozentrum, University of Basel, Basel, Switzerland.
  • Lepore R; Computational Structural Biology, SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
  • Kryshtafovych A; Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Adamopoulos A; Genome Center, University of California, Davis, Davis, California, USA.
  • Alahuhta M; Oncode Institute and Division of Biochemistry, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Arvin AM; Bioscience Center, National Renewable Energy Laboratory, Golden, Colorado, USA.
  • Bomble YJ; Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.
  • Böttcher B; Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Breyton C; Bioscience Center, National Renewable Energy Laboratory, Golden, Colorado, USA.
  • Chiarini V; Biocenter and Rudolf Virchow Center, Julius-Maximilians Universität Würzburg, Würzburg, Germany.
  • Chinnam NB; Univ. Grenoble Alpes, CNRS, CEA, Institute for Structural Biology, Grenoble, France.
  • Chiu W; Program in Structural Biology and Biophysics, Institute of Biotechnology, University of Helsinki, Helsinki, Finland.
  • Fidelis K; Department of Molecular and Cellular Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.
  • Grinter R; Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Gupta GD; Bioengineering, Stanford University School of Medicine, Stanford, California, USA.
  • Hartmann MD; Division of Cryo-EM and Bioimaging SSRL, SLAC National Accelerator Laboratory, Menlo Park, California, USA.
  • Hayes CS; Genome Center, University of California, Davis, Davis, California, USA.
  • Heidebrecht T; Infection and Immunity Program, Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Australia.
  • Ilari A; Radiation Biology & Health Sciences Division, Bhabha Atomic Research Centre, Mumbai, India.
  • Joachimiak A; Department of Protein Evolution, Max Planck Institute for Developmental Biology, Tübingen, Germany.
  • Kim Y; Department of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, Santa Barbara, California, USA.
  • Linares R; Biomolecular Science and Engineering Program, University of California, Santa Barbara, Santa Barbara, California, USA.
  • Lovering AL; Oncode Institute and Division of Biochemistry, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Lunin VV; Institute of Molecular Biology and Pathology of the National Research Council of Italy (CNR), Rome, Italy.
  • Lupas AN; Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA.
  • Makbul C; X-ray Science Division, Argonne National Laboratory, Structural Biology Center, Argonne, Illinois, USA.
  • Michalska K; Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, Illinois, USA.
  • Moult J; Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA.
  • Mukherjee PK; X-ray Science Division, Argonne National Laboratory, Structural Biology Center, Argonne, Illinois, USA.
  • Nutt WS; Univ. Grenoble Alpes, CNRS, CEA, Institute for Structural Biology, Grenoble, France.
  • Oliver SL; School of Biosciences, University of Birmingham, Birmingham, UK.
  • Perrakis A; Bioscience Center, National Renewable Energy Laboratory, Golden, Colorado, USA.
  • Stols L; Department of Protein Evolution, Max Planck Institute for Developmental Biology, Tübingen, Germany.
  • Tainer JA; Biocenter and Rudolf Virchow Center, Julius-Maximilians Universität Würzburg, Würzburg, Germany.
  • Topf M; Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA.
  • Tsutakawa SE; X-ray Science Division, Argonne National Laboratory, Structural Biology Center, Argonne, Illinois, USA.
  • Valdivia-Delgado M; Department of Cell Biology and Molecular Genetics, Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland, USA.
  • Schwede T; Nuclear Agriculture & Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, India.
Proteins ; 89(12): 1647-1672, 2021 12.
Article em En | MEDLINE | ID: mdl-34561912
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Conformação Proteica / Software / Proteínas / Modelos Moleculares Tipo de estudo: Prognostic_studies Idioma: En Revista: Proteins Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Conformação Proteica / Software / Proteínas / Modelos Moleculares Tipo de estudo: Prognostic_studies Idioma: En Revista: Proteins Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça País de publicação: Estados Unidos