Artificial intelligence in drug discovery and development

Debleena Paul; Gaurav Sanap; Snehal Shenoy; Dnyaneshwar Kalyane; Kiran Kalia; Rakesh K Tekade

doi:10.1016/j.drudis.2020.10.010

Artificial intelligence in drug discovery and development

Drug Discov Today. 2021 Jan;26(1):80-93. doi: 10.1016/j.drudis.2020.10.010. Epub 2020 Oct 21.

Authors

Debleena Paul¹, Gaurav Sanap¹, Snehal Shenoy¹, Dnyaneshwar Kalyane¹, Kiran Kalia¹, Rakesh K Tekade²

Affiliations

¹ National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Palaj, Opp. Air Force Station, Gandhinagar, 382355, Gujarat, India.
² National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Palaj, Opp. Air Force Station, Gandhinagar, 382355, Gujarat, India. Electronic address: rakeshtekade@gmail.com.

Abstract

Artificial intelligence-integrated drug discovery and development has accelerated the growth of the pharmaceutical sector, leading to a revolutionary change in the pharma industry. Here, we discuss areas of integration, tools, and techniques utilized in enforcing AI, ongoing challenges, and ways to overcome them.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Artificial Intelligence*
Drug Discovery* / methods
Drug Discovery* / trends
Humans
Pharmaceutical Research* / instrumentation
Pharmaceutical Research* / methods