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

TITLE=A Web Server for GPCR-GPCR Interaction Pair Prediction

JOURNAL=Frontiers in Endocrinology

VOLUME=13

YEAR=2022

URL=https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2022.825195

DOI=10.3389/fendo.2022.825195

ISSN=1664-2392

ABSTRACT=<p>The GGIP web server (<uri xlink:href="https://protein.b.dendai.ac.jp/GGIP/" xmlns:xlink="http://www.w3.org/1999/xlink">https://protein.b.dendai.ac.jp/GGIP/</uri>) 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.</p>