Affiliation:
1. Thakur College of Engineering and Technology, India
2. School of Computer Science and Engineering, VIT Bhopal University, India
Abstract
The genesis of artificial intelligence (AI) has subsequently led to many machine learning algorithms being used for purposes like drug discovery. The strategies for developing drug targets and medication revelation have joined forces with AI and deep learning algorithms to improve the effectiveness, adequacy, and nature of created yields. Drug discovery is a very difficult endeavor as its success depends on data from several fields, yet it is very crucial and beneficial for us in the long run. In this chapter, the applications that have created novel techniques and produced significant yield in this field are reviewed.