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Genomic strategies for drug repurposing
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-...
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Published in: | Journal of Egyptian National Cancer Institute 2024-11, Vol.36 (1), p.35-12 |
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creator | Dave, Kirtan Patel, Dhaval Dave, Nischal Jain, Mukul |
description | 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. |
doi_str_mv | 10.1186/s43046-024-00245-z |
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subjects | Artificial intelligence Cancer Cancer therapies Cell cycle Computer science CRISPR Data mining Disease Drug development Drug discovery Drug repurposing Drugs Gene expression Genes Genetics Genomes Genomics Health aspects Homeopathy Kinases Materia medica and therapeutics NGS Ontology Open source software Pharmacogenetics Phosphorylation Proteins Proteomics R&D Research & development Therapeutics Visualization |
title | Genomic strategies for drug repurposing |
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