2022Sorzano Validation
Citation
Sorzano, C. O. S. / Vilas, J. L. / Ram\irez-Aportela, Erney / Krieger, J. / Del Hoyo, D. / de Isidro-Gómez, F. / Herreros, David / Fernandez-Giménez, Estrella / Marchán, D. / Mac\ias, J. R. / Sánchez, I. / del Caño, L. / Fonseca-Reyna, Y. / Conesa, P. / García-Mena, A. / Burguet, J. / García-Condado, J. / Méndez-García, J. / Martínez, M. / Muñoz-Barrutia, A. / Marabini, R. / Vargas, J. / Carazo, J. M. Image processing tools for the validation of CryoEM maps. 2022. Faraday Discussions, Vol. 240, p. 210-227
Abstract
The 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 halfmaps 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.
Keywords
Links
https://pubs.rsc.org/en/content/articlehtml/2022/fd/d2fd00059h
