Artificial Intelligence the Futuristic Technology in the Drug Discovery Process: A Review

Abstract

The drug discovery process has been a challenging task for any pharmaceutical industry. In ancient times the discovery of new drug molecules was made on an experimental basis until computers were introduced in the field of Pharmaceutical sciences, which led to a breakthrough in pharmaceutical research and development. Computer-Aided Drug Design (CADD) revolutionized the drug discovery process by minimizing the time and showing accurate results in the drug discovery process. Artificial Intelligence (AI) and Machine Learning (ML) are the advanced version of CADD technologies for the drug discovery process. The integrated technologies of both AI and machine learning have unleashed the immense potential of researchers in the pharmaceutical industries and drug discovery process, leading to significant innovations and the development of intelligent technologies. This review highlights some of them as it focuses on the concept of industrialization 4.0 (smart industries), which involves CADD's most progressive and innovative ideas like automation, augmented reality, digital twins, cobots, and computational fluid dynamics. These are the advanced form of CADD technologies, which have immense potential for designing smart industries. All these have led the pharmaceutical industries to evolve from man to machine, which results in complete automation.

Keywords: Artificial Intelligence; Artificial Neural Network; Computational Fluid Dynamics; Drug Discovery Process; Machine Learning