The Role of Computational Biology in Drug Discovery and Development

Abstract

Computational biology has emerged as a pivotal tool in the field of drug discovery and development. By integrating computational models and biological data, computational biology enables researchers to predict the behavior of molecules, design drug candidates, and optimize therapeutic strategies. This article explores the key applications of computational biology, such as molecular docking, drug-target interaction prediction, pharmacokinetics, and systems biology. Additionally, it discusses the integration of machine learning and artificial intelligence in accelerating drug discovery processes, enhancing precision medicine, and reducing development costs. Computational biology has revolutionized the way drugs are discovered, offering more efficient, cost-effective, and personalized approaches to developing novel therapeutics.