The integration of omics tools with biotechnology has led to a paradigm
shift in our comprehension of drug interactions, providing profound insights into the
molecular mechanisms underlying these interactions. We explore the crucial functions
of genomes, transcriptomics, proteomics, and metabolomics in this chapter to decode
pharmacological interactions at various molecular levels. Notably, significant emphasis
is placed on the application of omics tools in areas such as high-throughput screening
for unveiling novel drug targets, personalized medicine, pharmacogenomics,
understanding drug-drug and drug-metabolite interactions, drug repurposing,
polypharmacology, and systems biology. Furthermore, the paper explores the potential
of integrating omics data with computational approaches to study complex biological
networks, highlighting the instrumental role of microbial biotechnology in drug
interactions. Importantly, alongside these advancements, there is also an in-depth
discussion of the ethical, legal, and societal ramifications of the use of omics
technologies in biotechnology. Moreover, the text presents an in-depth examination of
the emerging trends, challenges, and prospective developments in the realm of omics
research. As the field continues to evolve, overcoming challenges related to data
integration, reproducibility, and standardization are underscored as crucial for the
translation of these pioneering discoveries into improved patient care and the
development of more effective, personalized therapeutic strategies. It is crucial to
remember that the combination of omics tools and biotechnology will have significant
effects on how medicine and healthcare are delivered in the future. As a result, it is
essential to maintain research and development in this field to ensure that all future
healthcare-related exigencies can be met with the most advanced and innovative
solutions possible.
Keywords: Biotechnology, Drug interactions, Drug repurposing, Highthroughput screening, Systems biology, Microbial biotechnology, Omics tools, Personalized medicine, Pharmacogenomics, Polypharmacology.
