| 引用本文: | 管庆霞,罗煜婷,刘宇萌,李莹,杨寒,李泌男,李秀岩.人工智能在抗肿瘤药物研发中的应用与进展[J].中国现代应用药学,2023,40(23):3318-3323. |
| GUAN Qingxia,LUO Yuting,LIU Yumeng,LI Ying,YANG Han,LI Minan,LI Xiuyan.Application and Progress of Artificial Intelligence in Development of Anti-tumor Drugs[J].Chin J Mod Appl Pharm(中国现代应用药学),2023,40(23):3318-3323. |
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| 摘要: |
| 随着人工智能的飞速发展以及人们对肿瘤疾病机制的认识逐渐加深，人工智能在抗肿瘤药物的研发中起到了重要作用。本文简要介绍了人工智能的主要模型及在药物研发方面的优势，并基于结构、配体、肿瘤细胞表型及电子健康记录四大方面综述了近年来人工智能在抗肿瘤药物研发中的应用与进展，并总结了人工智能应用于抗肿瘤药物研发中的机遇与挑战，以期为从事相关领域的科研技术人员提供思路与参考。 |
| 关键词: 人工智能 机器学习 新药研发 抗肿瘤 |
| DOI：10.13748/j.cnki.issn1007-7693.20230857 |
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| 基金项目:黑龙江自然科学基金联合引导项目(LH2022H085)；黑龙江省中医药科研项目(ZHY2022-111)；黑龙江省自然科学基金面上项目(H2016076) |
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| Application and Progress of Artificial Intelligence in Development of Anti-tumor Drugs |
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GUAN Qingxia, LUO Yuting, LIU Yumeng, LI Ying, YANG Han, LI Minan, LI Xiuyan
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Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China
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| Abstract: |
| With the rapid development of artificial intelligence and the gradual deepening of people's understanding of the mechanisms of tumor diseases, artificial intelligence has played an important role in the research and development of anti-tumor drugs. This article briefly introduces the main models of artificial intelligence and its advantages in drug research and development, and summarizes the application and progress of artificial intelligence in anti-tumor drug research and development in recent years from four aspects: structure based, ligand based, tumor cell phenotype, and electronic health records. It also summarizes the opportunities and challenges of artificial intelligence in anti-tumor drug research and development, hoping to provide ideas and references for scientific and technical personnel engaged in related fields. |
| Key words: artificial intelligence machine learning new drug development anti-tumor |
