言語種別 |
英語 |
発行・発表の年月 |
2022/03/24 |
形態種別 |
学術研究論文 |
査読 |
査読あり |
招待論文 |
招待あり |
標題 |
A web server for GPCR-GPCR interaction pair prediction |
執筆形態 |
共著 |
掲載誌名 |
Frontiers in Endocrinology-Molecular and Structural Endocrinology |
掲載区分 |
国外 |
担当区分 |
筆頭著者
,
責任著者
|
国際共著 |
国際共著 |
概要 |
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. |