Integrative Bioinformatics approaches to therapeutic gene target selection in various cancers for Nitroglycerin.

ABSTRACT: Integrative Bioinformatics analysis helps to explore various mechanisms of Nitroglycerin activity in different types of cancers and help predict target genes through which Nitroglycerin affect cancers. Many publicly available databases and tools were used for our study. First step in this study is identification of Interconnected Genes. Using Pubchem and SwissTargetPrediction Direct Target Genes (activator, inhibitor, agonist and suppressor) of Nitroglycerin were identified. PPI network was constructed to identify different types of cancers that the 12 direct target genes affected and the Closeness Coefficient of the direct target genes so identified. Pathway analysis was performed to ascertain biomolecules functions for the direct target genes using CluePedia App. Mutation Analysis reveal

SUBMITTER: Chinnappan J 

PROVIDER: S-EPMC8586365 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature