Abstract

Omics technologies and Molecular biology have advanced so quickly that they have completely changed the process of finding and developing new drugs. A thorough understanding of the molecular mechanisms behind diseases can be gained by integrated omics techniques, which include transcriptomics, proteomics, etabolomics, epigenomics, and genomics. Insight about the probable genetic causes of diseases can be gained from genomic data. Combining this data with CADD can help direct the hunt for potential therapeutic targets, particularly in diseases like some types of cancer that have a significant genetic component. Together with Computer-Aided Drug Discovery (CADD) methods, these highdimensional datasets allow to predict chemical activity, find new drug targets, and optimise therapeutic candidates with unprecedented accuracy. Molecular docking and virtual screening for lead development, the use of machine learning for complicated dataset analysis, and the function of multi-omics integration in target identification. Personalised medicine is made possible by the integrated framework, which also speeds up the creation of safe and efficient treatments.

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