1. Continuous flexibility analysis of SARS-CoV-2 spike prefusion structures
- Author
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Pablo Chacón, Laura del Cano, José María Carazo, Pablo Conesa, Roberto Marabini, Erney Ramírez-Aportela, C.O.S. Sorzano, Hemant D. Tagare, Jason S. McLellan, Daniel Wrapp, Patricia Losana, Rubén J. Sánchez-García, Brent Foster, José Luis Vilas, David Herreros, Roberto Melero, Yunior C. Fonseca-Reyna, Marta Martínez, Consejo Superior de Investigaciones Científicas (España), Comunidad de Madrid, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Ministerio de Educación, Cultura y Deporte (España), Instituto de Salud Carlos III, European Commission, National Institutes of Health (US), Melero, Roberto [0000-0001-9467-9381], Martínez, Marta [0000-0002-8435-5540], Marabini, Roberto [0000-0001-7876-1684], Sánchez-García, Ruben [0000-0001-6156-3542], Melero, Roberto, Martínez, Marta, Marabini, Roberto, Sánchez-García, Ruben, and UAM. Departamento de Ingeniería Informática
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conformational flexibility ,Computer science ,Image processing ,Spike ,cryo-electron microscopy ,Instability ,Biochemistry ,Conformational flexibility ,Domain (mathematical analysis) ,Article ,Domain (software engineering) ,03 medical and health sciences ,0302 clinical medicine ,General Materials Science ,Statistical physics ,Cluster analysis ,030304 developmental biology ,Interpretability ,Informática ,Physics ,Flexibility (engineering) ,0303 health sciences ,Crystallography ,SARS-CoV-2 ,State (functional analysis) ,General Chemistry ,spike ,Condensed Matter Physics ,Research Papers ,Cryo-electron microscopy (cryo-EM) ,image processing ,Data set ,sars-cov-2 ,QD901-999 ,Principal component analysis ,Spike (software development) ,Algorithm ,030217 neurology & neurosurgery - Abstract
Using a new consensus-based image-processing approach together with principal component analysis, the flexibility and conformational dynamics of the SARS-CoV-2 spike in the prefusion state have been analysed. These studies revealed concerted motions involving the receptor-binding domain (RBD), N-terminal domain, and subdomains 1 and 2 around the previously characterized 1-RBD-up state, which have been modeled as elastic deformations. It is shown that in this data set there are not well defined, stable spike conformations, but virtually a continuum of states. An ensemble map was obtained with minimum bias, from which the extremes of the change along the direction of maximal variance were modeled by flexible fitting. The results provide a warning of the potential image-processing classification instability of these complicated data sets, which has a direct impact on the interpretability of the results., The authors would like to acknowledge financial support from CSIC (PIE/COVID-19 No. 202020E079), the Comunidad de Madrid through grant CAM (S2017/BMD-3817), the Spanish Ministry of Science and Innovation through projects SEV 2017-0712, FPU-2015/264 and PID2019-104757RB-I00/AEI/FEDER, the Instituto de Salud Carlos III [PT17/0009/0010 (ISCIII-SGEFI/ERDF)], and the European Union and Horizon 2020 through grants INSTRUCT–ULTRA (INFRADEV-03-2016-2017, Proposal 731005), EOSC Life (INFRAEOSC-04-2018, Proposal 824087), HighResCells (ERC-2018-SyG, Proposal 810057), IMpaCT (WIDESPREAD-03-2018, Proposal 857203), CORBEL (INFRADEV-1-2014-1, Proposal 654248) and EOSC–Synergy (EINFRA-EOSC-5, Proposal 857647). HDT and BF were supported by NIH grant GM125769 and JSM was supported by NIH grant R01-AI127521.
- Published
- 2020
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