Detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning

Xiao Wang; Eman Alnabati; Tunde W. Aderinwale; Sai Raghavendra Maddhuri Venkata Subramaniya; Genki Terashi; Daisuke Kihara

doi:10.1038/s41467-021-22577-3

Nature Communications (Apr 2021)

Detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning

Xiao Wang,
Eman Alnabati,
Tunde W. Aderinwale,
Sai Raghavendra Maddhuri Venkata Subramaniya,
Genki Terashi,
Daisuke Kihara

Affiliations

Xiao Wang: Department of Computer Science, Purdue University
Eman Alnabati: Department of Computer Science, Purdue University
Tunde W. Aderinwale: Department of Computer Science, Purdue University
Sai Raghavendra Maddhuri Venkata Subramaniya: Department of Computer Science, Purdue University
Genki Terashi: Department of Biological Sciences, Purdue University
Daisuke Kihara: Department of Computer Science, Purdue University

DOI: https://doi.org/10.1038/s41467-021-22577-3
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 9

Abstract

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It is challenging to extract structural information from EM density maps at intermediate or low resolutions. Here, the authors present Emap2sec+, a program for detecting nucleotides and protein secondary structures in EM density maps at 5 to 10 Å resolution.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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