Evidence map›Paper›PMID 34834140›Full record

ArticleMolecules (Basel, Switzerland)2021

Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies.

Maytha Alshammari, Jing He

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Maytha AlshammariDepartment of Computer Science, Old Dominion University, Norfolk, VA 23529, USA.
Jing HeDepartment of Computer Science, Old Dominion University, Norfolk, VA 23529, USA.

Funding

Multi-Resolution Docking Methods for Electron MicroscopyR01GM062968 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI WRIGGERS, WILLY R · 2001 to 2023
$4.8M
NIGMS NIH HHS R01 GM062968NIH HHS R01-GM062968
6 · The paper itself

Abstract

Although atomic structures have been determined directly from cryo-EM density maps with high resolutions, current structure determination methods for medium resolution (5 to 10 Å) cryo-EM maps are limited by the availability of structure templates. Secondary structure traces are lines detected from a cryo-EM density map for α-helices and β-strands of a protein. A topology of secondary structures defines the mapping between a set of sequence segments and a set of traces of secondary structures in three-dimensional space. In order to enhance accuracy in ranking secondary structure topologies, we explored a method that combines three sources of information: a set of sequence segments in 1D, a set of amino acid contact pairs in 2D, and a set of traces in 3D at the secondary structure level. A test of fourteen cases shows that the accuracy of predicted secondary structures is critical for deriving topologies. The use of significant long-range contact pairs is most effective at enriching the rank of the maximum-match topology for proteins with a large number of secondary structures, if the secondary structure prediction is fairly accurate. It was observed that the enrichment depends on the quality of initial topology candidates in this approach. We provide detailed analysis in various cases to show the potential and challenge when combining three sources of information.

Indexed as

AlgorithmsCryoelectron MicroscopyDatabases, ProteinModels, MolecularProtein DomainsProteinsProtein Structure, SecondaryProteinsamino acidconstraintscontactcryo-electron microscopyimageprotein structuresecondary structuretopology

Identifiers

PMID34834140
PMCPMC8624718

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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.