Open AccessApplication of Centrality Measures for Potential Drug Targets: Review
Author(s) -
Akula Chandra Sekhar,
Ch. Ambedkar
Publication year - 2020
Publication title -
international journal of engineering and computer science
Language(s) - English
Resource type - Journals
ISSN - 2319-7242
DOI - 10.18535/ijecs/v9i04.4465
Subject(s) - centrality , computer science , drug target , graph , drug , drug discovery , computational biology , node (physics) , bioinformatics , theoretical computer science , medicine , biology , pharmacology , mathematics , physics , combinatorics , quantum mechanics
Protein-Protein Interactions (PPI) have important role in drug binding with the Proteins called drug targets. For identifying the potential drug targets there are different techniques. In this paper we are presenting application of Centrality Measures for identifying the drug targets. Centrality measure indicates importance of node in the graph or network. Protein-Protein Interactions for proteins which are involved in a particular disease are identified and centrality measures will be calculated based on the graph built suing the PPI interactions. Further the nodes which are playing crucial role will be identified using the various centrality measures and these drug targets can be used for drug discovery of a particular disease through insilico docking studies.