Abstract
The recent covid crisis has provided important lessons for academia and industry regarding digital reorganization. Among the fascinating lessons from these times is the huge potential of data analytics and artificial intelligence. The crisis exponentially accelerated the adoption of analytics and artificial intelligence, and this momentum is predicted to continue into the 2020s and beyond. Drug development is a costly and time-consuming business, and only a minority of approved drugs generate returns exceeding the research and development costs. As a result, there is a huge drive to make drug discovery cheaper and faster. With modern algorithms and hardware, it is not too surprising that the new technologies of artificial intelligence and other computational simulation tools can help drug developers. In only two years of covid research, many novel molecules have been designed/identified using artificial intelligence methods with astonishing results in terms of time and effectiveness. This paper reviews the most significant research on artificial intelligence in de novo drug design for COVID-19 pharmaceutical research.
Keywords: COVID-19; artificial intelligence; drug design; ligand-based drug design; machine learning; structure-based drug design.
【저자키워드】 COVID-19, drug design, artificial intelligence, machine learning, ligand-based drug design, structure-based drug design., 【초록키워드】 Drug discovery, Drug development, drug design, artificial intelligence, machine learning, research and development, approved drugs, Algorithm, Research, Effectiveness, crisis, adoption, approved drug, help, analytics, hardware, de novo, predicted, generate, provided, faster, costly, accelerated, time-consuming, novel molecule, 【제목키워드】 artificial intelligence, technology, drug, artificial, intelligence,