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A Web Server for GPCR-GPCR Interaction Pair Prediction

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....

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Autores principales: Nemoto, Wataru, Yamanishi, Yoshihiro, Limviphuvadh, Vachiranee, Fujishiro, Shunsuke, Shimamura, Sakie, Fukushima, Aoi, Toh, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989088/
https://www.ncbi.nlm.nih.gov/pubmed/35399947
http://dx.doi.org/10.3389/fendo.2022.825195
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author Nemoto, Wataru
Yamanishi, Yoshihiro
Limviphuvadh, Vachiranee
Fujishiro, Shunsuke
Shimamura, Sakie
Fukushima, Aoi
Toh, Hiroyuki
author_facet Nemoto, Wataru
Yamanishi, Yoshihiro
Limviphuvadh, Vachiranee
Fujishiro, Shunsuke
Shimamura, Sakie
Fukushima, Aoi
Toh, Hiroyuki
author_sort Nemoto, Wataru
collection PubMed
description 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.
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spelling pubmed-89890882022-04-08 A Web Server for GPCR-GPCR Interaction Pair Prediction Nemoto, Wataru Yamanishi, Yoshihiro Limviphuvadh, Vachiranee Fujishiro, Shunsuke Shimamura, Sakie Fukushima, Aoi Toh, Hiroyuki Front Endocrinol (Lausanne) Endocrinology 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. Frontiers Media S.A. 2022-03-24 /pmc/articles/PMC8989088/ /pubmed/35399947 http://dx.doi.org/10.3389/fendo.2022.825195 Text en Copyright © 2022 Nemoto, Yamanishi, Limviphuvadh, Fujishiro, Shimamura, Fukushima and Toh https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Nemoto, Wataru
Yamanishi, Yoshihiro
Limviphuvadh, Vachiranee
Fujishiro, Shunsuke
Shimamura, Sakie
Fukushima, Aoi
Toh, Hiroyuki
A Web Server for GPCR-GPCR Interaction Pair Prediction
title A Web Server for GPCR-GPCR Interaction Pair Prediction
title_full A Web Server for GPCR-GPCR Interaction Pair Prediction
title_fullStr A Web Server for GPCR-GPCR Interaction Pair Prediction
title_full_unstemmed A Web Server for GPCR-GPCR Interaction Pair Prediction
title_short A Web Server for GPCR-GPCR Interaction Pair Prediction
title_sort web server for gpcr-gpcr interaction pair prediction
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989088/
https://www.ncbi.nlm.nih.gov/pubmed/35399947
http://dx.doi.org/10.3389/fendo.2022.825195
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