Artificial Intelligence in Drug Design: Opportunities and Challenges

Nov 4, 2021 | Publications, Published 2023

Home » Publications » Artificial Intelligence in Drug Design: Opportunities and Challenges

Thomas M, Boardman A, Garcia-Ortegon M, Yang H, de Graaf C, Bender A
Methods in Molecular Biology (MIMB, volume 2390) https://link.springer.com/protocol/10.1007/978-1-0716-1787-8_1

Abstract:

Artificial intelligence (AI) has undergone rapid development in recent years and has been successfully applied to real-world problems such as drug design. In this chapter, we review recent applications of AI to problems in drug design including virtual screening, computer-aided synthesis planning, and de novo molecule generation, with a focus on the limitations of the application of AI therein and opportunities for improvement. Furthermore, we discuss the broader challenges imposed by AI in translating theoretical practice to real-world drug design; including quantifying prediction uncertainty and explaining model behavior.

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