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Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction.
Khatun, Mst Shamima; Shoombuatong, Watshara; Hasan, Md Mehedi; Kurata, Hiroyuki.
Afiliação
  • Khatun MS; 1Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka820-8502, Japan; 2Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok10700, Thailand; 3Japan Society for the Promotion of Science, 5-3-1
  • Shoombuatong W; 1Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka820-8502, Japan; 2Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok10700, Thailand; 3Japan Society for the Promotion of Science, 5-3-1
  • Hasan MM; 1Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka820-8502, Japan; 2Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok10700, Thailand; 3Japan Society for the Promotion of Science, 5-3-1
  • Kurata H; 1Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka820-8502, Japan; 2Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok10700, Thailand; 3Japan Society for the Promotion of Science, 5-3-1
Curr Genomics ; 21(6): 454-463, 2020 Sep.
Article em En | MEDLINE | ID: mdl-33093807
Protein-protein interactions (PPIs) are the physical connections between two or more proteins via electrostatic forces or hydrophobic effects. Identification of the PPIs is pivotal, which contributes to many biological processes including protein function, disease incidence, and therapy design. The experimental identification of PPIs via high-throughput technology is time-consuming and expensive. Bioinformatics approaches are expected to solve such restrictions. In this review, our main goal is to provide an inclusive view of the existing sequence-based computational prediction of PPIs. Initially, we briefly introduce the currently available PPI databases and then review the state-of-the-art bioinformatics approaches, working principles, and their performances. Finally, we discuss the caveats and future perspective of the next generation algorithms for the prediction of PPIs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Curr Genomics Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Curr Genomics Ano de publicação: 2020 Tipo de documento: Article