Abstract

In the rapidly evolving landscape of drug development, in silico target discovery has emerged as a transformative strategy that harnesses the power of data and technology to identify potential drug targets. This computational approach involves the analysis of diverse biological datasets, molecular interactions, and intricate networks to pinpoint key proteins or genes associated with disease pathways. Through the integration of high-throughput technologies, bioinformatics tools, and virtual screening methods, in silico target discovery offers a more efficient and targeted approach to identifying therapeutic targets. This article explores the principles and applications of in silico target discovery, highlighting its potential to revolutionize drug development by expediting target identification, enhancing precision, and paving the way for personalized medicine.