Topological Characterization of Protein-Protein Interaction via Implementing Large Scale Interaction Networks in Mycobacterium Tuberculosis H37Rv

Authors

  • Farah Deeba
  • Srinath Pandey
  • Gaurav Verma
  • Vinay Dwivedi

Abstract

This research manuscript essentially emphasizes the retrieval of Mycobacterium Tuberculosis H37Rv SuperTarget proteins to provide STRING Database with network structure. The data acquired were thus further analyzed for the aforementioned organism's protein-protein interaction network, eventually resulting in network model construction via Cytoscape 3.1.1. The relations between the entities that constitute a system are mainly revealed by a network model. Henceforth, these results help to research the intricacies of complex systems in different disciplines, including social science , computer science, and life sciences. Biological roles that are a result of molecular activity in a biological system. They form molecular complexes, modules or pathways that result in a biological function being made as a specialty.  Nodes (or vertices) often represent proteins, genes, or metabolites in a biological network, while edges also represent relationships such as controlling physical interactions or gene expression. The basic paradigm of a majority of molecular-level cellular events, transduction and transcription regulation, has been accredited to protein-protein interactions, including signaling. A comprehensive understanding of macromolecular interaction includes a thorough analysis of the interactions between proteins to provide the basics of biological systems, Studied through a number of high-throughput experiments and predicted through a range of computational methods involving a multitude of generated sequence data. This research paper focuses primarily on important computational methods for predicting functional interactions between proteins. It also discusses some of the repositories and resources that play an important role in the studies.

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Published

2020-02-05

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Articles