AlphaFold and the future of structural biology.

Journal: IUCrJ
Published Date: Jul 1, 2023

Abstract

This editorial acknowledges the transformative impact of new machine-learning methods, such as the use of AlphaFold, but also makes the case for the continuing need for experimental structural biology.

Authors

  • Randy J Read
    Department of Haematology, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK.
  • Edward N Baker
    School of Biological Sciences, University of Auckland, Auckland, New Zealand.
  • Charles S Bond
    School of Molecular Sciences, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia.
  • Elspeth F Garman
    Department of Biochemistry, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Parks Road, Oxford OX1 3QU, United Kingdom.
  • Mark J van Raaij
    Departamento de Estructura de Macromoleculas, Centro Nacional de Biotecnologia, Consejo Superior de Investigaciones Cientificas, 28049 Madrid, Spain.

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