Show simple item record

dc.contributor.authorSorzano, C. O.S.es_ES
dc.contributor.authorSemchonok, D.es_ES
dc.contributor.authorLin, S. C.es_ES
dc.contributor.authorLo, Y. C.es_ES
dc.contributor.authorVilas, J. L.es_ES
dc.contributor.authorJiménez-Moreno, A.es_ES
dc.contributor.authorGragera, M.es_ES
dc.contributor.authorVacca, S.es_ES
dc.contributor.authorMaluenda, D.es_ES
dc.contributor.authorMartínez, M.es_ES
dc.contributor.authorRamírez-Aportela, E.es_ES
dc.contributor.authorMelero, R.es_ES
dc.contributor.authorCuervo, A.es_ES
dc.contributor.authorConesa, J. J.es_ES
dc.contributor.authorConesa, P.es_ES
dc.contributor.authorLosana, P.es_ES
dc.contributor.authorCaño, L. deles_ES
dc.contributor.authorde la Morena, J. Jiménezes_ES
dc.contributor.authorFonseca, Y. C.es_ES
dc.contributor.authorSánchez-García, R.es_ES
dc.contributor.authorStrelak, D.es_ES
dc.contributor.authorFernández-Giménez, E.es_ES
dc.contributor.authorde Isidro, F.es_ES
dc.contributor.authorHerreros, D.es_ES
dc.contributor.authorKastritis, P. L.es_ES
dc.contributor.authorMarabini Ruiz, Roberto es_ES
dc.contributor.authorBruce, B. D.es_ES
dc.contributor.authorCarazo, J. M.es_ES
dc.contributor.otherUAM. Departamento de Ingeniería Informáticaes_ES
dc.date.accessioned2022-04-21T15:05:23Zen_US
dc.date.available2022-04-21T15:05:23Zen_US
dc.date.issued2021-03en_US
dc.identifier.citationJournal Of Structural Biology 213.1 (2021): 107695en_US
dc.identifier.issn1047-8477es_ES
dc.identifier.urihttp://hdl.handle.net/10486/701359en_US
dc.description.abstractThe presence of preferred orientations in single particle analysis (SPA) by cryo-Electron Microscopy (cryoEM) is currently one of the hurdles preventing many structural analyses from yielding high-resolution structures. Although the existence of preferred orientations is mostly related to the grid preparation, in this technical note, we show that some image processing algorithms used for angular assignment and three-dimensional (3D) reconstruction are more robust than others to these detrimental conditions. We exemplify this argument with three different data sets in which the presence of preferred orientations hindered achieving a 3D reconstruction without artifacts or, even worse, a 3D reconstruction could never be achieveden_US
dc.description.sponsorshipWe acknowledge support from “la Caixa” Foundation (Fellowship LCF/BQ/DI18/11660021. This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 713673. We also thank the financial support from the Spanish Ministry of Economy and Competitiveness through Grants BIO2016-76400-R(AEI/FEDER, UE) and SEV 2017-0712, the “Comunidad Autónoma de Madrid” through Grant: S2017/BMD-3817, Instituto de Salud Carlos III, PT17/ 0009/0010 (ISCIII-SGEFI/ERDF), European Union (EU) and Horizon 2020 through grants: CORBEL (INFRADEV-1-2014-1, Proposal: 654248), INSTRUCT-ULTRA (INFRADEV-03-2016-2017, Proposal: 731005), EOSC Life (INFRAEOSC-04-2018, Proposal: 824087), High- ResCells (ERC-2018-SyG, Proposal: 810057), IMpaCT (WIDESPREAD-03-2018 – Proposal: 857203), EOSC-Synergy (EINFRA-EOSC-5, Proposal: 857647), and iNEXT-Discovery (Proposal: 871037). The authors acknowledge the support and the use of resources of Instruct, a Landmark ESFRI projecten_US
dc.format.extent5 pag.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoengen_US
dc.publisherElsevieres_ES
dc.relation.ispartofJournal of Structural Biologyen_US
dc.rights© The author(s)en_US
dc.subject.otherElectron microscopyen_US
dc.subject.otherPreferred orientationsen_US
dc.subject.otherSingle particle analysisen_US
dc.titleAlgorithmic robustness to preferred orientations in single particle analysis by CryoEMen_US
dc.typearticleen_US
dc.subject.ecienciaInformáticaes_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.jsb.2020.107695en_US
dc.identifier.doi10.1016/j.jsb.2020.107695es_ES
dc.identifier.publicationfirstpage107695-1es_ES
dc.identifier.publicationissue1es_ES
dc.identifier.publicationlastpage107695-5es_ES
dc.identifier.publicationvolume213es_ES
dc.relation.projectIDGobierno de España. BIO2016-76400-Res_ES
dc.relation.projectIDGobierno de España. SEV 2017-0712es_ES
dc.relation.projectIDComunidad de Madrid. S2017/BMD-3817/TOMOXLIVERes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/654248/CORBELen_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/731005/ INSTRUCT-ULTRAen_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/824087/EOSC Lifeen_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/810057/High- ResCellsen_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/857203/IMpaCTen_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/857647/EOSC-Synergyen_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/871037/iNEXT-Discoveryen_US
dc.type.versioninfo:eu-repo/semantics/publishedVersionen_US
dc.contributor.groupTratamiento de Señales Biomédicas (ING EPS-011)es_ES
dc.rights.ccReconocimiento – NoComercial – SinObraDerivadaes_ES
dc.rights.accessRightsopenAccessen_US
dc.authorUAMMarabini Ruiz, Roberto (260858)es_ES
dc.facultadUAMEscuela Politécnica Superiores_ES


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record