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Advances in the application of artificial intelligence and big data in the field of anti-infective drugs
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Xin-yu GUAN1, 2, Qian LIU1, 2, Jin LI2, Yi-wen ZHANG1, Yu ZHAO2, *
Chinese Journal of New Drugs | 2026, 35(16) : 1736 - 1744
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Chinese Journal of New Drugs | 2026, 35(16): 1736-1744
Advances in the application of artificial intelligence and big data in the field of anti-infective drugs
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Xin-yu GUAN1, 2, Qian LIU1, 2, Jin LI2, Yi-wen ZHANG1, Yu ZHAO2, *
Affiliations
  • 1Shenyang Pharmaceutical University, Shenyang 117004, China
  • 2National Institutes for Drug Control, Beijing 102629, China
Published: 2026-08-30 doi: 10.20251/j.cnki.1003-3734.2026.16.008
Outline
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Infectious diseases pose a serious threat to global public health, making the research, development, and quality control of anti-infective drugs of critical importance. In recent years, artificial intelligence (AI) and big data have accelerated the drug discovery process and improved drug quality control levels by leveraging their efficient data processing capabilities and pattern recognition abilities. This article reviews the application of AI and big data in anti-infective drug molecular screening, resistance mechanism research, and broad-spectrum candidate drug development, while also summarizing their key roles in pharmaceutical production and quality control processes. However, the application of AI and big data technology in the development and quality control of anti-infective drugs still has limitations. In the future, it is necessary to promote the integration of interdisciplinary approaches and improve algorithm accuracy to drive the development and quality control of anti-infective drugs toward a new phase of efficiency and precision.

artificial intelligence  /  big data  /  anti-infective drugs  /  drug development  /  quality control
关欣宇, 刘倩, 李进, 张译文, 赵瑜. 人工智能与大数据在抗感染药物领域中的应用进展. 中国新药杂志, 2026 , 35 (16) : 1736 -1744 . DOI: 10.20251/j.cnki.1003-3734.2026.16.008
Xin-yu GUAN, Qian LIU, Jin LI, Yi-wen ZHANG, Yu ZHAO. Advances in the application of artificial intelligence and big data in the field of anti-infective drugs[J]. Chinese Journal of New Drugs, 2026 , 35 (16) : 1736 -1744 . DOI: 10.20251/j.cnki.1003-3734.2026.16.008
Year 2026 volume 35 Issue 16
36
8
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doi: 10.20251/j.cnki.1003-3734.2026.16.008
  • Online Date:2026-10-26
  • Published:2026-08-30
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  • Accepted:2025-12-02
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    1Shenyang Pharmaceutical University, Shenyang 117004, China
    2National Institutes for Drug Control, Beijing 102629, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
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Percentage of
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属
Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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