Bioinformatics Paradigms in Drug Discovery and Drug Development

Despite breakthroughs in medical sciences, drug development remains a time-consuming, expensive, challenging, and inefficient process with a high failure rate for novel therapeutic discoveries. Bioinformatics analysis can speed up drug target identification, drug candidate screening, and refining, but it can also help characterise adverse effects and anticipate drug resistance. Integrated genomics, proteomics, and bioinformatics have resulted in potent new tactics for resolving numerous biochemical problems and establishing new methodologies that result in new biomedical products. As a result, a new research trend emerged to demonstrate the mechanism of therapeutic action, forecast drug resistance, and uncover biomarkers for various disorders. The development of new medications is a complicated procedure. There are two basic approaches to drug design: ligand-based drug design and structure-based drug design. The study of protein structure and function was essential for drug development. Current techniques based on combinatorial approaches such as proteomics, genomics, bioinformatics, molecular docking, and mass spectrometry were applied. This article provides an overview of the combinatorial techniques of proteomics, genomics, and bioinformatics that aid in understanding the drug-creation process.