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Revolutionizing Drug Discovery: The Role of Artificial Intelligence and Machine Learning.

作者信息

Verma Abhishek, Awasthi Ankit

机构信息

Department of Pharmaceutics, ISF College of Pharmacy, Moga, Punjab 142001, India.

出版信息

Curr Pharm Des. 2024;30(11):807-810. doi: 10.2174/0113816128298691240222054120.

DOI:10.2174/0113816128298691240222054120
PMID:38409722
Abstract
摘要

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Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR.将 QSAR 建模与深度学习整合到药物发现中:深 QSAR 的出现。
Nat Rev Drug Discov. 2024 Feb;23(2):141-155. doi: 10.1038/s41573-023-00832-0. Epub 2023 Dec 8.
2
Integrated virtual screening, molecular modeling and machine learning approaches revealed potential natural inhibitors for epilepsy.综合虚拟筛选、分子建模和机器学习方法揭示了癫痫的潜在天然抑制剂。
Saudi Pharm J. 2023 Dec;31(12):101835. doi: 10.1016/j.jsps.2023.101835. Epub 2023 Oct 20.
3
Application of ensemble machine learning approach to assess the factors affecting size and polydispersity index of liposomal nanoparticles.
Infez Med. 2025 Mar 1;33(1):4-14. doi: 10.53854/liim-3301-2. eCollection 2025.
4
Artificial intelligence in drug development: reshaping the therapeutic landscape.药物研发中的人工智能:重塑治疗格局。
Ther Adv Drug Saf. 2025 Feb 24;16:20420986251321704. doi: 10.1177/20420986251321704. eCollection 2025.
应用集成机器学习方法评估影响脂质体纳米粒粒径和多分散指数的因素。
Sci Rep. 2023 Oct 21;13(1):18012. doi: 10.1038/s41598-023-43689-4.
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Optimizing nanoliposomal formulations: Assessing factors affecting entrapment efficiency of curcumin-loaded liposomes using machine learning.优化纳米脂质体制剂:使用机器学习评估影响载姜黄素脂质体包封效率的因素。
Int J Pharm. 2023 Nov 5;646:123414. doi: 10.1016/j.ijpharm.2023.123414. Epub 2023 Sep 13.
5
Artificial intelligence revolutionizing drug development: Exploring opportunities and challenges.人工智能正在改变药物研发:探索机遇与挑战。
Drug Dev Res. 2023 Dec;84(8):1652-1663. doi: 10.1002/ddr.22115. Epub 2023 Sep 15.
6
Artificial intelligence for dementia drug discovery and trials optimization.人工智能在痴呆症药物发现和临床试验优化中的应用。
Alzheimers Dement. 2023 Dec;19(12):5922-5933. doi: 10.1002/alz.13428. Epub 2023 Aug 16.
7
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies.人工智能在药物研发中的作用:挑战、机遇与策略。
Pharmaceuticals (Basel). 2023 Jun 18;16(6):891. doi: 10.3390/ph16060891.
8
CADD, AI and ML in drug discovery: A comprehensive review.CADD、人工智能和机器学习在药物发现中的应用:全面综述。
Eur J Pharm Sci. 2023 Feb 1;181:106324. doi: 10.1016/j.ejps.2022.106324. Epub 2022 Nov 5.
9
Artificial intelligence in cancer target identification and drug discovery.人工智能在癌症靶点识别和药物发现中的应用。
Signal Transduct Target Ther. 2022 May 10;7(1):156. doi: 10.1038/s41392-022-00994-0.
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Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries.人工智能和机器学习方法在药物设计中的应用:制药行业的挑战与机遇。
Mol Divers. 2022 Jun;26(3):1893-1913. doi: 10.1007/s11030-021-10326-z. Epub 2021 Oct 23.