Evidence map›Paper›PMID 35045825›Full record

ArticleBMC bioinformatics2022

Predicting Ca

Kai Sun, Xiuzhen Hu, Zhenxing Feng, Hongbin Wang, Haotian Lv, Ziyang Wang, Gaimei Zhang, Shuang Xu, Xiaoxiao You

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

9 authors at 2 institutions in 1 country.

Kai SunCollege of Sciences, Inner Mongolia University of Technology, Hohhot, 010051, People's Republic of China.
Xiuzhen HuCollege of Sciences, Inner Mongolia University of Technology, Hohhot, 010051, People's Republic of China. hxz@imut.edu.cn.
Zhenxing FengCollege of Sciences, Inner Mongolia University of Technology, Hohhot, 010051, People's Republic of China.
Hongbin WangCollege of Data Science and Application, Inner Mongolia University of Technology, Hohhot, 010051, People's Republic of China.
Haotian LvCollege of Data Science and Application, Inner Mongolia University of Technology, Hohhot, 010051, People's Republic of China.
Ziyang WangCollege of Sciences, Inner Mongolia University of Technology, Hohhot, 010051, People's Republic of China.
Gaimei ZhangHohhot First Hospital, Hohhot, 010051, People's Republic of China.
Shuang XuCollege of Sciences, Inner Mongolia University of Technology, Hohhot, 010051, People's Republic of China.
Xiaoxiao YouCollege of Sciences, Inner Mongolia University of Technology, Hohhot, 010051, People's Republic of China.
Inner Mongolia University of Technology · CNHohhot First Hospital · CN

Funding

National Natural Science Foundation of China 61961032Natural Science Foundation of Inner Mongolia 2019BS03025
6 · The paper itself

Abstract

backgroundAlkaline earth metal ions are important protein binding ligands in human body, and it is of great significance to predict their binding residues.

resultsIn this paper, Mg

conclusionsAn efficient method for predicting Mg

Indexed as

AlgorithmsNeural Networks, ComputerBinding SitesHumansLigandsProtein BindingLigandsBinding residueDeep learning algorithmMetal ion ligandProtein

Identifiers

PMID35045825
PMCPMC8772041
OpenAlexW4205438206

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.