Research Area:  Machine Learning

Abstract:

Artificial Intelligence (AI) is an area of computer science that simulates the structures and operating principles of the human brain. Machine learning (ML) belongs to the area of AI and endeavors to develop models from exposure to training data. Deep Learning (DL) is another subset of AI, where models represent geometric transformations over many different layers. This technology has shown tremendous potential in areas such as computer vision, speech recognition and natural language processing. More recently, DL has also been successfully applied in drug discovery. Here, I analyze several relevant DL applications and case studies, providing a detailed view of the current state-of-the-art in drug discovery and highlighting not only the problematic issues, but also the successes and opportunities for further advances.

Keywords:  
Drug discovery
Artificial Intelligence
Natural language processing
Deep learning

Author(s) Name:  Antonio Lavecchia

Publisher name:  Elsevier

DOI:  10.1016/j.drudis.2019.07.006

Volume Information:  Volume 24, Issue 10, October 2019, Pages 2017-2032

Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S135964461930282X