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Keywords = artificial intelligence-aided drug design (AIDD)

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35 pages, 3151 KiB  
Review
Application of Computational Biology and Artificial Intelligence in Drug Design
by Yue Zhang, Mengqi Luo, Peng Wu, Song Wu, Tzong-Yi Lee and Chen Bai
Int. J. Mol. Sci. 2022, 23(21), 13568; https://doi.org/10.3390/ijms232113568 - 5 Nov 2022
Cited by 75 | Viewed by 23052
Abstract
Traditional drug design requires a great amount of research time and developmental expense. Booming computational approaches, including computational biology, computer-aided drug design, and artificial intelligence, have the potential to expedite the efficiency of drug discovery by minimizing the time and financial cost. In [...] Read more.
Traditional drug design requires a great amount of research time and developmental expense. Booming computational approaches, including computational biology, computer-aided drug design, and artificial intelligence, have the potential to expedite the efficiency of drug discovery by minimizing the time and financial cost. In recent years, computational approaches are being widely used to improve the efficacy and effectiveness of drug discovery and pipeline, leading to the approval of plenty of new drugs for marketing. The present review emphasizes on the applications of these indispensable computational approaches in aiding target identification, lead discovery, and lead optimization. Some challenges of using these approaches for drug design are also discussed. Moreover, we propose a methodology for integrating various computational techniques into new drug discovery and design. Full article
(This article belongs to the Collection Computational Studies of Biomolecules)
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