Evidence map›Paper›PMID 35838364›Full record

ArticleACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine2019

A Histogram-based Outlier Profile for Atomic Structures Derived from Cryo-Electron Microscopy.

Lin Chen, Jing He

Abstract read
In one paragraph

Article in ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2019. 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.

Lin ChenDepartment of Computer Science, Valdosta State University, Valdosta, GA 31698.
Jing HeDepartment of Computer Science, Old Dominion University, Norfolk, VA 23529.

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 GM062968
6 · The paper itself

Abstract

As more atomic structures are determined from cryo-electron microscopy (cryo-EM) density maps, validation of such structures is an important task. We report findings after analyzing the change of cryo-EM structures in a comparison between those released by December 2016 and those released between 2017 and 2019. The cryo-EM models created from density maps with resolution better than 6 Å were divided into six data sets. A histogram-based outlier score (HBOS) was implemented and validation reports were collected from the Protein Data Bank. The results suggest that the overall quality of EM structures released after December 2016 is better than that of structures released before 2017. The conformation qualities of most residue types might have been improved, except for Leucine, Phenylalanine, and Serine in high-resolution datasets (higher than 4 Å). We observe that structures solved from 0-4 Å resolution density maps have an almost identical HBOS profile as that of structures derived from density maps with 4-6 Å resolution.

Indexed as

anomalycryo-electron microscopymachine learningprotein structureside-chainstatisticsvalidationX-ray

Identifiers

PMID35838364
PMCPMC9279010

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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.