Genomic strategies for drug repurposing

• Published in: Journal of Egyptian National Cancer Institute Vol. 36; no. 1; pp. 35 - 12
• Main Authors: Dave, Kirtan, Patel, Dhaval, Dave, Nischal, Jain, Mukul
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 11.11.2024; Springer; Springer Nature B.V; SpringerOpen
• Subjects: Antineoplastic Agents - pharmacology; Antineoplastic Agents - therapeutic use; Artificial intelligence; Cancer; Cancer therapies; Cell cycle; Computer science; CRISPR; Data mining; Disease; Drug development; Drug Discovery; Drug Repositioning - methods; Drug repurposing; Drugs; Gene expression; Genes; Genetics; Genomes; Genomics; Genomics - methods; Health aspects; Homeopathy; Humans; Kinases; Materia medica and therapeutics; Medicine; Medicine & Public Health; Neoplasms - drug therapy; Neoplasms - genetics; NGS; Oncology; Ontology; Open source software; Pharmacogenetics; Pharmacogenetics - methods; Phosphorylation; Proteins; Proteomics; R&D; Research & development; Review; Therapeutics; Visualization; India; Drug repurposing; NGS; Genomics; Proteomics; Cancer
• ISSN: 1110-0362; 2589-0409
• DOI: 10.1186/s43046-024-00245-z

Functional genomics, a multidisciplinary subject, investigates the functions of genes and their products in biological systems to better understand diseases and find new drugs. Drug repurposing is an economically efficient approach that entails discovering novel therapeutic applications for already-available medications. Genomics enables the identification of illness and therapeutic molecular characteristics and interactions, which in turn facilitates the process of drug repurposing. Techniques like gene expression profiling and Mendelian randomization are helpful in identifying possible medication candidates. Progress in computer science allows for the investigation and modeling of gene expression networks that involve large amounts of data. The amalgamation of data concerning DNA, RNA, and protein functions bears similarity to pharmacogenomics, a crucial aspect in crafting cancer therapeutics. Functional genomics in drug discovery, particularly for cancer, is still not thoroughly investigated, despite the existence of a significant amount of literature on the subject. Next-generation sequencing and proteomics present highly intriguing opportunities. Publicly available databases and mining techniques facilitate the development of cancer treatments based on functional genomics. Broadening the exploration and utilization of functional genomics holds significant potential for advancing drug discovery and repurposing, particularly within the realm of oncology.