GGIP

Structure and sequence-based GPCR–GPCR interaction pair predictor

Wataru Nemoto, Yoshihiro Yamanishi, Vachiranee Limviphuvadh, Akira Saito, Hiroyuki Toh

研究成果: ジャーナルへの寄稿記事

4 引用 (Scopus)

抄録

G Protein-Coupled Receptors (GPCRs) are important pharmaceutical targets. More than 30% of currently marketed pharmaceutical medicines target GPCRs. Numerous studies have reported that GPCRs function not only as monomers but also as homo- or hetero-dimers or higher-order molecular complexes. Many GPCRs exert a wide variety of molecular functions by forming specific combinations of GPCR subtypes. In addition, some GPCRs are reportedly associated with diseases. GPCR oligomerization is now recognized as an important event in various biological phenomena, and many researchers are investigating this subject. We have developed a support vector machine (SVM)-based method to predict interacting pairs for GPCR oligomerization, by integrating the structure and sequence information of GPCRs. The performance of our method was evaluated by the Receiver Operating Characteristic (ROC) curve. The corresponding area under the curve was 0.938. As far as we know, this is the only prediction method for interacting pairs among GPCRs. Our method could accelerate the analyses of these interactions, and contribute to the elucidation of the global structures of the GPCR networks in membranes. Proteins 2016; 84:1224–1233.

元の言語英語
ページ(範囲)1224-1233
ページ数10
ジャーナルProteins: Structure, Function and Bioinformatics
84
発行部数9
DOI
出版物ステータス出版済み - 9 1 2016

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G-Protein-Coupled Receptors
Oligomerization
Dimers
Biological Phenomena
ROC Curve
Pharmaceutical Preparations
Medicine
Area Under Curve
Support vector machines
Monomers
Research Personnel
Membranes

All Science Journal Classification (ASJC) codes

  • Structural Biology
  • Biochemistry
  • Molecular Biology

これを引用

GGIP : Structure and sequence-based GPCR–GPCR interaction pair predictor. / Nemoto, Wataru; Yamanishi, Yoshihiro; Limviphuvadh, Vachiranee; Saito, Akira; Toh, Hiroyuki.

:: Proteins: Structure, Function and Bioinformatics, 巻 84, 番号 9, 01.09.2016, p. 1224-1233.

研究成果: ジャーナルへの寄稿記事

Nemoto, W, Yamanishi, Y, Limviphuvadh, V, Saito, A & Toh, H 2016, 'GGIP: Structure and sequence-based GPCR–GPCR interaction pair predictor', Proteins: Structure, Function and Bioinformatics, 巻. 84, 番号 9, pp. 1224-1233. https://doi.org/10.1002/prot.25071
Nemoto, Wataru ; Yamanishi, Yoshihiro ; Limviphuvadh, Vachiranee ; Saito, Akira ; Toh, Hiroyuki. / GGIP : Structure and sequence-based GPCR–GPCR interaction pair predictor. :: Proteins: Structure, Function and Bioinformatics. 2016 ; 巻 84, 番号 9. pp. 1224-1233.
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