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. 2022 Mar 24:13:825195.
doi: 10.3389/fendo.2022.825195. eCollection 2022.

A Web Server for GPCR-GPCR Interaction Pair Prediction

Wataru Nemoto  1   2 , Yoshihiro Yamanishi  3 , Vachiranee Limviphuvadh  4 , Shunsuke Fujishiro  2 , Sakie Shimamura  2 , Aoi Fukushima  1 , Hiroyuki Toh  5
Affiliations

A Web Server for GPCR-GPCR Interaction Pair Prediction

Wataru Nemoto et al. Front Endocrinol (Lausanne). .

Erratum in

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.

Keywords: GPCR; bioinformatics; disease-associated mutation; machine learning; membrane protein; prediction; protein-protein interaction; web service.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Data processing for the development and prediction of GGIP.
Figure 2
Figure 2
Input page of GGIP.
Figure 3
Figure 3
Results page of GGIP.
Figure 4
Figure 4
Workflow to predict interaction inhibitive mutations and interaction promotive mutations.
See this image and copyright information in PMC

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