Evidence map›Paper›PMID 35625380›Full record

ArticleBiology2022

Application of Hierarchical Clustering to Analyze Solvent-Accessible Surface Area Patterns in

Supajit Sraphet, Bagher Javadi

Open access · goldAbstract read
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Supajit SraphetInstitute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand.
Bagher JavadiDepartment of Sciences, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok 10300, Thailand.
Mahidol University · THSuan Sunandha Rajabhat University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wealth of biological databases provides a valuable asset to understand evolution at a molecular level. This research presents the machine learning approach, an unsupervised agglomerative hierarchical clustering analysis of invariant solvent accessible surface areas and conserved structural features of

Indexed as

Amycolatopsis eburneaconserved accessible solvent areaenzymelipaseprotein stabilitystructural biology analysis

Identifiers

PMID35625380
PMCPMC9138565
OpenAlexW4224313285

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.