Evidence map›Paper›PMID 39576577›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Protein Secondary Structure and DNA/RNA Detection for Cryo-EM and Cryo-ET Using Emap2sec and Emap2sec

Javad Baghirov, Han Zhu, Xiao Wang, Daisuke Kihara

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Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Javad BaghirovDepartment of Computer Science, Purdue University, West Lafayette, IN, USA.
Han ZhuDepartment of Computer Science, Purdue University, West Lafayette, IN, USA.
Xiao WangDepartment of Computer Science, Purdue University, West Lafayette, IN, USA.
Daisuke KiharaDepartment of Computer Science, Purdue University, West Lafayette, IN, USA. dkihara@purdue.edu.

Funding

Building protein structure models for intermediate resolution cryo-electron microscopy mapsR01GM133840 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2020 to 2023
$1.6M
National Science Foundation CMMI1825941National Science Foundation DBI2003635National Science Foundation DBI2146026National Science Foundation DMS2151678National Science Foundation IIS2211598National Science Foundation MCB1925643NIGMS NIH HHS R01 GM133840
6 · The paper itself

Abstract

Cryo-electron microscopy (cryo-EM) has become a powerful tool for determining the structures of macromolecules, such as proteins and DNA/RNA complexes. While high-resolution cryo-EM maps are increasingly available, there is still a substantial number of maps determined at intermediate or low resolution. These maps present challenges when it comes to extracting structural information. In response to this, two computational methods, Emap2sec and Emap2sec+, have been developed by our group to address these challenges and benefit the analysis of cryo-EM maps. In this chapter, we describe how to use the web servers of two of our structure analysis software for cryo-EM, Emap2sec and Emapsec+. Both methods identify local structures in medium-resolution EM maps of 5-10 Å to help find and fit protein and DNA/RNA structures in EM maps. Emap2sec identifies the secondary structures of proteins, while Emap2sec+ also identifies DNA/RNA locations in cryo-EM maps. As cryo-electron tomogram (cryo-ET) has started to produce data of this resolution, these methods would be useful for cryo-ET, too. Both methods are available in the form of webservers and source code at https://kiharalab.org/emsuites/ .

Indexed as

Cryoelectron MicroscopyDNAProtein Structure, SecondaryRNASoftwareModels, MolecularNucleic Acid ConformationProteinsDNAProteinsRNACryo-electron microscopyCryo-electron tomographyCryo-EMCryo-ETDeep learningEmap2secEmap2sec+Low resolution map dataSecondary structure detection

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.