Evidence map›Paper›PMID 32197044›Full record

ArticleJournal of chemical information and modeling2020

MAINMASTseg: Automated Map Segmentation Method for Cryo-EM Density Maps with Symmetry.

Genki Terashi, Yuki Kagaya, Daisuke Kihara

Open access · greenAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 33% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Interactive segmentation of membrane and membrane-mimic densities in cryo-EM maps.Acta crystallographica. Section D, Structural biology · 2026
    Article
  2. Article
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  5. Article
  6. Review
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  9. Faces of Contemporary CryoEM Information and Modeling.Journal of chemical information and modeling · 2020
    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

3 authors at 2 institutions in 2 countries.

Genki TerashiDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana 47907, United States.
Yuki KagayaGraduate School of Information Sciences, Tohoku University, Aramaki Aza, Aoba 6-3-09, Aoba-Ku, Sendai, Miyagi 980-8579, Japan.
Daisuke KiharaDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0003-4091-6614
Purdue University West Lafayette · USTohoku University · JP

Funding

Structural Modeling of Multifarious Protein ComplexesR01GM123055 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2017 to 2020
$1.2M
NIGMS NIH HHS R01 GM123055
6 · The paper itself

Abstract

For structural interpretation of cryo-electron microscopy (cryo-EM) density maps that contain multiple chains, map segmentation is an important step. If a map is segmented accurately into regions of individual protein components, the structure of each protein can be separately modeled using an existing modeling tool. Here, we developed new software, MAINMASTseg, for segmenting maps with symmetry. MAINMASTseg is an extension of the MAINMAST

Indexed as

ProteinsSoftwareCryoelectron MicroscopyProtein ConformationProteins

Identifiers

PMID32197044
PMCPMC9206428
OpenAlexW3012316881

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.