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Laura del Cano

dblp:244/8870 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › structural biology
cryo-electron microscopy
0.412019
Validation of electron microscopy initial models via small angle X-ray scattering curves · Bioinform. 2019
Bioinformatics and computational biology › structural biology
small angle x-ray scattering analysis
0.412019
Validation of electron microscopy initial models via small angle X-ray scattering curves · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

pseudo-atomic modeling · 0.4
YearPublicationVenuePosition
2019 Validation of electron microscopy initial models via small angle X-ray scattering curves
abstract
MOTIVATION: Cryo electron microscopy (EM) is currently one of the main tools to reveal the structural information of biological macromolecules. The re-construction of three-dimensional (3D) maps is typically carried out following an iterative process that requires an initial estimation of the 3D map to be refined in subsequent steps. Therefore, its determination is key in the quality of the final results, and there are cases in which it is still an open issue in single particle analysis (SPA). Small angle X-ray scattering (SAXS) is a well-known technique applied to structural biology. It is useful from small nanostructures up to macromolecular ensembles for its ability to obtain low resolution information of the biological sample measuring its X-ray scattering curve. These curves, together with further analysis, are able to yield information on the sizes, shapes and structures of the analyzed particles. RESULTS: In this paper, we show how the low resolution structural information revealed by SAXS is very useful for the validation of EM initial 3D models in SPA, helping the following refinement process to obtain more accurate 3D structures. For this purpose, we approximate the initial map by pseudo-atoms and predict the SAXS curve expected for this pseudo-atomic structure. The match between the predicted and experimental SAXS curves is considered as a good sign of the correctness of the EM initial map. AVAILABILITY AND IMPLEMENTATION: The algorithm is freely available as part of the Scipion 1.2 software at http://scipion.i2pc.es/.
Amaya Jiménez, Slavica Jonic, Tomás Majtner, Joaquín Otón, Jose Luis Vilas, David Maluenda, Javier Mota, Erney Ramírez-Aportela, Marta Martínez, Yaiza Rancel, Joan Segura, Rubén Sánchez García, Roberto Melero, Laura del Cano, Pablo Conesa, Lars Skjærven, Roberto Marabini, José María Carazo, Carlos Oscar Sánchez Sorzano
Bioinform.14