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Discerning molecular interactions: A comprehensive review on biomolecular interaction databases and network analysis tools.
Miryala, Sravan Kumar; Anbarasu, Anand; Ramaiah, Sudha.
Afiliação
  • Miryala SK; Medical and Biological Computing Laboratory, School of Biosciences and Technology, VIT University, Vellore 632014, Tamil Nadu, India.
  • Anbarasu A; Medical and Biological Computing Laboratory, School of Biosciences and Technology, VIT University, Vellore 632014, Tamil Nadu, India.
  • Ramaiah S; Medical and Biological Computing Laboratory, School of Biosciences and Technology, VIT University, Vellore 632014, Tamil Nadu, India. Electronic address: sudhaanand@vit.ac.in.
Gene ; 642: 84-94, 2018 Feb 05.
Article em En | MEDLINE | ID: mdl-29129810
ABSTRACT
Computational analysis of biomolecular interaction networks is now gaining a lot of importance to understand the functions of novel genes/proteins. Gene interaction (GI) network analysis and protein-protein interaction (PPI) network analysis play a major role in predicting the functionality of interacting genes or proteins and gives an insight into the functional relationships and evolutionary conservation of interactions among the genes. An interaction network is a graphical representation of gene/protein interactome, where each gene/protein is a node, and interaction between gene/protein is an edge. In this review, we discuss the popular open source databases that serve as data repositories to search and collect protein/gene interaction data, and also tools available for the generation of interaction network, visualization and network analysis. Also, various network analysis approaches like topological approach and clustering approach to study the network properties and functional enrichment server which illustrates the functions and pathway of the genes and proteins has been discussed. Hence the distinctive attribute mentioned in this review is not only to provide an overview of tools and web servers for gene and protein-protein interaction (PPI) network analysis but also to extract useful and meaningful information from the interaction networks.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Biologia Computacional / Mapeamento de Interação de Proteínas Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Biologia Computacional / Mapeamento de Interação de Proteínas Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article