Author: Dr. Raghav Verma, Dr. Sneha Iyer
Abstract: In silico drug discovery has emerged as a revolutionary approach in modern pharmaceutical research. This computational technique leverages advanced algorithms, molecular modeling, and bioinformatics tools to accelerate the identification, design, and optimization of potential drug candidates. The traditional drug discovery process is time-consuming, expensive, and often associated with high attrition rates. In silico methods offer significant advantages by reducing costs, improving efficiency, and increasing the probability of success. This paper explores the methodologies, applications, challenges, and future prospects of in silico drug discovery. Furthermore, it highlights the integration of artificial intelligence (AI), machine learning (ML), and molecular docking in streamlining the drug development pipeline. Despite numerous advancements, challenges such as data quality, computational limitations, and biological complexity remain persistent. Nevertheless, the scope of in silico drug discovery continues to expand, making it a pivotal tool in personalized medicine and precision therapeutics.
Keywords:- In silico, drug discovery, molecular docking, computationalbiology, bioinformatics, virtual screening, AI in drug design,pharmacoinformatics
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