AI in Drug Discovery: Enhancing the Process with Machine Learning Models

Drug discovery is a long and expensive process that usually takes years of laboratory work. In recent years, artificial intelligence (AI) has become an important tool that can help scientists predict and analyze drug behavior more efficiently. This paper provides a conceptual review of how AI methods, especially machine learning and deep learning, can be used to support different stages of the drug discovery process. Instead of conducting experimental research, this study focuses on analyzing and summarizing the main approaches and recent findings in this field. The results of this review show that AI can reduce the time and cost of traditional methods while increasing accuracy in identifying potential new drugs. The paper also discusses current challenges and suggests possible directions for future research.

کلیدواژه ها:

Artificial ، Intelligence ، Machine ، Learning ، Drug ، Discovery