| 丁金峰,孙雪,胡波,等.基于人工智能的天然产物高效发现研究进展[J].中国海洋药物,2025,(5):-. |
| 基于人工智能的天然产物高效发现研究进展 |
| Advances in Artificial Intelligence-based Research for Efficient Discovery of Natural Products |
| 投稿时间：2024-04-11 修订日期：2024-08-05 |
| DOI： |
| 中文关键词: 人工智能 天然产物 深度学习 药物研发 新技术 |
| English Keywords:artificial intelligence natural products deep learning drug discovery new technologies |
| Fund Project: |
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| 中文摘要: |
| 天然产物一直都被视为创新药物发现的重要来源。然而,天然产物的发现,特别是结构新颖、活性显著分子的发现,却是一个漫长而费时的过程。如今,随着人工智能技术的迅猛发展,许多研究人员已经开始将人工智能技术引入到天然产物发现的过程中,以协助快速筛选潜在的目标分子,从而加快生物活性分子的发现过程,大大缩短了研究周期。本综述探讨近年来人工智能技术在天然产物发现中的应用,为高效发现天然产物提供新思路和新方法,从而推动天然产物高效发现的应用和发展。 |
| English Summary: |
| Natural products have always been recognized as an important source of innovative drug discovery. However, natural product discovery, especially the discovery of molecules with novel structures and remarkable activities, is a long and time-consuming process. Nowadays, with the rapid development of artificial intelligence technology, many researchers have begun to introduce AI technology into the process of natural product discovery to assist in the rapid screening of potential target molecules, thereby accelerating the discovery process of bioactive molecules and greatly shortening the research cycle. This review explores the application of AI technology in natural product discovery in recent years to provide new ideas and methods for the efficient discovery of natural products, thereby promoting the application and development of efficient natural product discovery. |
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