New Directions in Systems Biology-based Target Identification and Cancer Genome Analysis

Abstract

In order to coordinate effectively the bio-physiochemical monitoring of genes, proteins, and metabolites from complicated data, systems biology is indispensable. Additionally, it incorporates knowledge from data and responses (metabolic and signaling route) that result in the construction of computational frameworks for the clarification of a conformation and the role of a molecular determinant. To identify a whole therapeutic target and for a functional pipeline to lead compound characterization, systems biology methods make use of massive, complicated, high-throughput data. Systems biology is currently one of the most widely used methods for characterizing protein–ligand communication on a huge scale and is essential for addressing the complicated approach of drug action to therapeutic applications. However, ways to study cancer genomes are of great importance in identifying key genes involved and mutations responsible for causing perturbations in the biochemical pathways in order to be able to propose a target-based therapeutic strategy. This chapter mainly focuses on cancer genome analysis and systems biology-based techniques for drug–target interaction prediction.