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人工智能在核酸药物研发中的应用和进展

Advances in the application of artificial intelligence in nucleic acid drug development
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摘要 近年来核酸药物领域蓬勃发展,正逐步成为小分子和抗体类药物后的第三代药物新模式。基于机器学习的人工智能技术进步迅速,可以极大推进核酸药物研发的进程。本文概述了核酸药物研发领域的人工智能算法、数据库、表征等基础,阐述了人工智能在核酸结构预测、小核酸药物设计等核酸药物研发环节中的应用和进展,旨在为人工智能和核酸药物交叉学科发展提供参考。 In recent years,the field of nucleic acid therapeutics has been flourishing,progressively establishing itself as the third generation of drug modalities following small molecules and antibody-based drugs.Artificial intelligence technology based on machine learning is advancing rapidly,which can significantly accelerate the development process of nucleic acid therapeutics.This review provides an overview of the foundational aspects of artificial intelligence algorithms,databases,and characterizations in the field of nucleic acid drug development.It elucidates the advances in the application of artificial intelligence in nucleic acid structural prediction,small nucleic acid drug design,and other research and development phases of nucleic acid therapeutics,aiming to offer some reference for the interdisciplinary development of artificial intelligence and nucleic acid drugs.
作者 胡子昂 高利明 余文颖 HU Zi’ang;GAO Liming;YU Wenying(Mudi Meng Honors College,China Pharmaceutical University,Nanjing 211198;School of Science,China Pharmaceutical University,Nanjing 211198;School of Life Science and Technology,China Pharmaceutical University,Nanjing 211198,China)
出处 《中国药科大学学报》 CAS CSCD 北大核心 2024年第3期335-346,共12页 Journal of China Pharmaceutical University
关键词 人工智能 核酸药物 核酸数据库 核酸表征 核酸结构预测 小核酸药物设计 artificial intelligence nucleic acid drugs nucleic acid database nucleic acid characterization nucleic acid structure prediction small nucleic acid drug design
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