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dc.contributor.authorSorzano, Carlos Óscar S.es_ES
dc.contributor.authorAlcorlo, Martínes_ES
dc.contributor.authorde la Rosa-Trevín, J. M.es_ES
dc.contributor.authorMelero, Robertoes_ES
dc.contributor.authorFoche, I.es_ES
dc.contributor.authorZaldívarPeraza, A.es_ES
dc.contributor.authordel Cano, L.es_ES
dc.contributor.authorVargas, J.es_ES
dc.contributor.authorAbrishami, V.es_ES
dc.contributor.authorOtón, J.es_ES
dc.contributor.authorCarazo, José M.es_ES
dc.date.issued2015-09-22-
dc.identifier.citationScientific Reports 5: 14290 (2015)es_ES
dc.identifier.issn2045-2322-
dc.identifier.urihttp://hdl.handle.net/10261/128225-
dc.description6 p.-2 fig. Sorzano, Carlos Oscar S. et al.es_ES
dc.description.abstractCryo-Electron Microscopy (cryo-EM) of macromolecular complexes is a fundamental structural biology technique which is expanding at a very fast pace. Key to its success in elucidating the threedimensional structure of a macromolecular complex, especially of small and non-symmetric ones, is the ability to start from a low resolution map, which is subsequently refined with the actual images collected at the microscope. There are several methods to produce this first structure. Among them, Random Conical Tilt (RCT) plays a prominent role due to its unbiased nature (it can create an initial model based on experimental measurements). In this article, we revise the fundamental mathematical expressions supporting RCT, providing new expressions handling all key geometrical parameters without the need of intermediate operations, leading to improved automation and overall reliability, essential for the success of cryo-EM when analyzing new complexes. We show that the here proposed RCT workflow based on the new formulation performs very well in practical cases, requiring very few image pairs (as low as 13 image pairs in one of our examples) to obtain relevant 3D maps.es_ES
dc.description.sponsorshipThe authors would like to acknowledge economical support from the Spanish Ministry of Economy and Competitiveness through grants AICA-2011-0638 and BIO2013-44647-R, the Comunidad de Madrid through grant CAM (S2010/BMD-2305), as well as a postdoctoral Juan de la Cierva grant with reference JCI-2011-10185 to Javier Vargas.es_ES
dc.language.isoenges_ES
dc.publisherNature Publishing Groupes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIO2013-44647-Res_ES
dc.relationS2010/BMD-2305es_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.titleCryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisitedes_ES
dc.typeartículoes_ES
dc.identifier.doi10.1038/srep14290-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/ 10.1038/srep14290es_ES
dc.identifier.e-issn2045-2322-
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderComunidad de Madrides_ES
dc.relation.csices_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/100012818es_ES
dc.identifier.pmid26390853-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
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