Evidence map›Paper›PMID 33828582›Full record

ArticleFrontiers in genetics2021

Ying Li, Jianing Zhao, Zhaoqian Liu, Cankun Wang, Lizheng Wei, Siyu Han, Wei Du

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Moonlighting enzymes: when cellular context defines specificity.Cellular and molecular life sciences : CMLS · 2023
    Review
  4. Predictive modeling of moonlighting DNA-binding proteins.NAR genomics and bioinformatics · 2022
    Article
  5. Article
  6. 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

7 authors at 2 institutions in 2 countries.

Ying LiKey Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China.
Jianing ZhaoKey Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China.
Zhaoqian LiuDepartment of Biomedical Informatics, College of Medicine, Ohiostate University, Columbus, OH, United States.
Cankun WangDepartment of Biomedical Informatics, College of Medicine, Ohiostate University, Columbus, OH, United States.
Lizheng WeiDepartment of Biomedical Informatics, College of Medicine, Ohiostate University, Columbus, OH, United States.
Siyu HanDepartment of Computer Science, Faculty of Engineering University of Bristol, Bristol, United Kingdom.
Wei DuKey Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China.
Jilin University · CNUniversity of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Moonlighting proteins (MPs) are a special type of protein with multiple independent functions. MPs play vital roles in cellular regulation, diseases, and biological pathways. At present, very few MPs have been discovered by biological experiments. Due to the lack of data sample, computation-based methods to identify MPs are limited. Currently, there is no

Indexed as

deep learningensemble learningmultimodalprediction modelprotein moonlighting

Identifiers

PMID33828582
PMCPMC8019903
OpenAlexW3136034114

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.