Journal article

Automatic local resolution-based sharpening of cryo-EM maps

E Ramírez-Aportela, JL Vilas, A Glukhova, R Melero, P Conesa, M Martínez, D Maluenda, J Mota, A Jiménez, J Vargas, R Marabini, PM Sexton, JM Carazo, COS Sorzano

Bioinformatics | OXFORD UNIV PRESS | Published : 2020

Abstract

Motivation: Recent technological advances and computational developments have allowed the reconstruction of Cryo-Electron Microscopy (cryo-EM) maps at near-atomic resolution. On a typical workflow and once the cryo-EM map has been calculated, a sharpening process is usually performed to enhance map visualization, a step that has proven very important in the key task of structural modeling. However, sharpening approaches, in general, neglects the local quality of the map, which is clearly suboptimal. Results: Here, a new method for local sharpening of cryo-EM density maps is proposed. The algorithm, named LocalDeblur, is based on a local resolution-guided Wiener restoration approach of the or..

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University of Melbourne Researchers

Grants

Awarded by European Commission


Funding Acknowledgements

The authors would like to acknowledge economical support from: the Comunidad de Madrid through grant CAM (S2017/BMD-3817), the Spanish Ministry of Economy and Competitiveness (BIO2016-76400-R) and the European Union and Horizon 2020 through grants INSTRUCT-ULTRA (INFRADEV-03-2016-2017, Proposal: 731005) and iNEXT (INFRAIA-1-2014-2015, Proposal: 653706).