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Image processing tools for the validation of CryoEM maps

dc.contributor.authorSorzano, Carlos O. S
dc.contributor.authorVilas Prieto, José Luis
dc.contributor.authorRamírez Aportela, Erney
dc.contributor.authorKrieger, J.
dc.contributor.authorHoyo, D. del
dc.contributor.authorHerreros, David
dc.contributor.authorFernández Giménez, Estrella
dc.contributor.authorMarchán, D.
dc.contributor.authorMacías, J. R.
dc.contributor.authorSánchez, I.
dc.contributor.authorCaño, L. del
dc.contributor.authorFonseca Reyna, Y.
dc.contributor.authorConesa, A.
dc.contributor.authorGarcía Mena, A.
dc.contributor.authorBurguet Castell, Jordi
dc.contributor.authorGarcía Condado, J.
dc.contributor.authorMéndez García, J.
dc.contributor.authorMartínez Orts, Mónica
dc.contributor.authorMuñoz Barrutia, A.
dc.contributor.authorMarabini, R.
dc.contributor.authorVargas Balbuena, Javier
dc.contributor.authorCarazo, J. M.
dc.date.accessioned2023-06-22T10:54:03Z
dc.date.available2023-06-22T10:54:03Z
dc.date.issued2022-04-04
dc.description© The Royal Society of Chemistry 2022. We are thankful to Philip Baldwin, Dmitry Lyumkis, and Gabriel Lander for making their validation methods available (4.h and A.c). Javier Vargas and Jordi Burguet would like to thank the Spanish Ministry of Science and Innovation for financial support through the call 2019 Proyectos de I+D+i - RTI Tipo A (PID2019-108850RA-I00) and Arrate Muñoz Barrutia, PID2019-109820RB-I00, MCIN/AEI/10.13039/501100011033/, cofinanced by European Regional Development Fund (ERDF), "A way of making Europe.". The authors acknowledge the economic support from MICIN of the Instruct Image Processing Center (I2PC) as part of the Spanish participation in Instruct-ERIC, the European Strategic Infrastructure Project (ESFRI) in the area of Structural Biology, Grant PID2019-104757RB-I00 funded by MCIN/AEI/10.13039/501100011033/ and "ERDF A way of making Europe", by the European Union and Grant PRE2020 - 093527 funded by MCIN/AEI/ 10.13039/501100011033 and by "ESF Investing in your future". We also acknowledge support from "Comunidad Autonoma de Madrid" through Grant: S2017/BMD-3817, Instituto de Salud Carlos III (project IMPaCT-Data, exp. IMP/00019), co-funded by the European Union, European Regional Development Fund (ERDF, "A way to make Europe"), and European Union (EU) and Horizon 2020 through grants: EOSC Life (INFRAEOSC-04-2018, Proposal: 824087), HighResCells (ERC - 2018 - SyG, Proposal: 810057), IMpaCT (WIDESPREAD-03-2018 - Proposal: 857203), EOSC - Synergy (EINFRA-EOSC-5, Proposal: 857647), iNEXT-Discovery (Proposal: 871037), EnLaCES (H2020-MSCA-IF-2020, Proposal: 101024130).
dc.description.abstractThe number of maps deposited in public databases (Electron Microscopy Data Bank, EMDB) determined by cryo-electron microscopy has quickly grown in recent years. With this rapid growth, it is critical to guarantee their quality. So far, map validation has primarily focused on the agreement between maps and models. From the image processing perspective, the validation has been mostly restricted to using two half-maps and the measurement of their internal consistency. In this article, we suggest that map validation can be taken much further from the point of view of image processing if 2D classes, particles, angles, coordinates, defoci, and micrographs are also provided. We present a progressive validation scheme that qualifies a result validation status from 0 to 5 and offers three optional qualifiers (A, W, and O) that can be added. The simplest validation state is 0, while the most complete would be 5AWO. This scheme has been implemented in a website https://biocomp.cnb.csic.es/EMValidationService/ to which reconstructed maps and their ESI can be uploaded.
dc.description.departmentDepto. de Óptica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipUnión Europea. Horizonte 2020
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN)/FEDER
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN)
dc.description.sponsorshipComunidad de Madrid
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/74067
dc.identifier.doi10.1039/d2fd00059h
dc.identifier.issn1359-6640
dc.identifier.officialurlhttp://dx.doi.org/10.1039/d2fd00059h
dc.identifier.relatedurlhttps://pubs.rsc.org
dc.identifier.urihttps://hdl.handle.net/20.500.14352/71859
dc.journal.titleFaraday discussions
dc.language.isoeng
dc.publisherRoyal Society of Chemistry
dc.relation.projectID(EOSC-Life (824087); EOSC-synergy (857647); HighResCells (810057); IMpaCT (857203); iNEXT-Discovery (871037); EnLaCES (MSCA-101024130))
dc.relation.projectIDIMPaCT-Data (IMP 00019)
dc.relation.projectID(PID2019-108850RA-I00; PID2019-109820RB-I00; PID2019-104757RB-I00; PRE2020 - 093527)
dc.relation.projectIDS2017/BMD-3817
dc.rightsAtribución-NoComercial 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/es/
dc.subject.cdu535
dc.subject.keywordLocal resolution
dc.subject.keywordElectron
dc.subject.keywordEM
dc.subject.keywordModel
dc.subject.keywordReproducibility
dc.subject.keywordOrientation
dc.subject.ucmÓptica (Física)
dc.subject.unesco2209.19 Óptica Física
dc.titleImage processing tools for the validation of CryoEM maps
dc.typejournal article
dspace.entity.typePublication
relation.isAuthorOfPublicationa979a6d4-257b-4d6f-b96c-3990f5a4362a
relation.isAuthorOfPublication45153f05-d418-4868-868c-1261d2a17b4f
relation.isAuthorOfPublication6ccb1e60-8b61-4b23-8a0a-09af30f7b795
relation.isAuthorOfPublication.latestForDiscoverya979a6d4-257b-4d6f-b96c-3990f5a4362a

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