Evidence map›Paper›PMID 35399947›Full record

ArticleFrontiers in endocrinology2022

A Web Server for GPCR-GPCR Interaction Pair Prediction.

Wataru Nemoto, Yoshihiro Yamanishi, Vachiranee Limviphuvadh, Shunsuke Fujishiro, Sakie Shimamura, Aoi Fukushima, Hiroyuki Toh

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 40% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Wataru NemotoDivision of Life Science, Department of Science and Engineering, School of Science and Engineering, Tokyo Denki University (TDU), Hatoyama-machi, Japan.
Yoshihiro YamanishiDepartment of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka-shi, Japan.
Vachiranee LimviphuvadhBioinformatics Institute (BII), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Shunsuke FujishiroMaster's Programs of Life Science and Engineering, Graduate School of Science and Engineering, Tokyo Denki University (TDU), Hatoyama-machi, Japan.
Sakie ShimamuraMaster's Programs of Life Science and Engineering, Graduate School of Science and Engineering, Tokyo Denki University (TDU), Hatoyama-machi, Japan.
Aoi FukushimaDivision of Life Science, Department of Science and Engineering, School of Science and Engineering, Tokyo Denki University (TDU), Hatoyama-machi, Japan.
Hiroyuki TohDepartment of Biomedical Chemistry, School of Science and Technology, Kwansei Gakuin University, Sanda-shi, Japan.
Tokyo Denki University · JPBioinformatics Institute · SGKwansei Gakuin University · JPKyushu Institute of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The GGIP web server (https://protein.b.dendai.ac.jp/GGIP/) provides a web application for GPCR-GPCR interaction pair prediction by a support vector machine. The server accepts two sequences in the FASTA format. It responds with a prediction that the input GPCR sequence pair either interacts or not. GPCRs predicted to interact with the monomers constituting the pair are also shown when query sequences are human GPCRs. The server is simple to use. A pair of amino acid sequences in the FASTA format is pasted into the text area, a PDB ID for a template structure is selected, and then the 'Execute' button is clicked. The server quickly responds with a prediction result. The major advantage of this server is that it employs the GGIP software, which is presently the only method for predicting GPCR-interaction pairs. Our web server is freely available with no login requirement. In this article, we introduce some application examples of GGIP for disease-associated mutation analysis.

Indexed as

SoftwareAmino Acid SequenceHumansbioinformaticsdisease-associated mutationGPCRmachine learningmembrane proteinpredictionprotein-protein interactionweb service

Identifiers

PMID35399947
PMCPMC8989088
OpenAlexW4220771217

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.