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DOI 10.1038/s41592-026-03085-y

Медицинская библиотека · Nature methods · 2026

AI proteomics: from protein identification to virtual cells.

Sun Yingying, A Jun, Liu Zhiwei, Sun Rui, Qian Liujia, Payne Samuel H, Bittremieux Wout, Ralser Markus, Li Chen, Chen Yi, Dong Zhen, Perez-Riverol Yasset, Khan Asif, Sander Chris, Aebersold Ruedi, Vizcaíno Juan Antonio, Krieger Jonathan R, Yao Jianhua, Han Wen, Zhang Linfeng, Zhu Yunping, Xuan Yue, Sun Benjamin Boyang, Qiao Liang, Hermjakob Henning, Tang Haixu, Gao Huanhuan, Deng Yamin, Zhong Qing, Chang Cheng, Bandeira Nuno, Li Ming, E Weinan, Sun Siqi, Yang Yuedong, Omenn Gilbert S, Zhang Yue, Xu Ping, Fu Yan, Liu Xiaowen, Overall Christopher M, Wang Yu, Deutsch Eric W, Chen Luonan, Cox Jürgen, Demichev Vadim, He Fuchu, Huang Jiaxing, Jin Huilin, Liu Chao, Li Nan, Luan Zhongzhi, Song Jiangning, Yu Kaicheng, Wan Wanggen, Wang Tai, Zhang Kang, Zhang Le, Bell Peter A, Mann Matthias, Zhang Bing, Guo Tiannan

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Аннотация

Artificial intelligence (AI) is transforming scientific research, including proteomics. In this Perspective, we highlight key mass spectrometry (MS)-based proteomics areas where AI is driving innovation, ranging from protein identification to building AI virtual cells. These include improving peptide and protein identification and quantification; characterizing protein-protein interactions and protein complexes; advancing spatial and perturbation proteomics; integrating multi-omics data; and, ultimately, enabling AI virtual cells. Finally, we call for global collaboration among data producers, data consumers and other stakeholders to establish an AI-friendly ecosystem for MS-based proteomics, laying the foundation for transformative advancements in proteomics driven by AI.

Для цитирования: Sun Yingying, A Jun, Liu Zhiwei, Sun Rui, Qian Liujia, Payne Samuel H, Bittremieux Wout, Ralser Markus, Li Chen, Chen Yi, Dong Zhen, Perez-Riverol Yasset, Khan Asif, Sander Chris, Aebersold Ruedi, Vizcaíno Juan Antonio, Krieger Jonathan R, Yao Jianhua, Han Wen, Zhang Linfeng, Zhu Yunping, Xuan Yue, Sun Benjamin Boyang, Qiao Liang, Hermjakob Henning, Tang Haixu, Gao Huanhuan, Deng Yamin, Zhong Qing, Chang Cheng, Bandeira Nuno, Li Ming, E Weinan, Sun Siqi, Yang Yuedong, Omenn Gilbert S, Zhang Yue, Xu Ping, Fu Yan, Liu Xiaowen, Overall Christopher M, Wang Yu, Deutsch Eric W, Chen Luonan, Cox Jürgen, Demichev Vadim, He Fuchu, Huang Jiaxing, Jin Huilin, Liu Chao, Li Nan, Luan Zhongzhi, Song Jiangning, Yu Kaicheng, Wan Wanggen, Wang Tai, Zhang Kang, Zhang Le, Bell Peter A, Mann Matthias, Zhang Bing, Guo Tiannan. AI proteomics: from protein identification to virtual cells.. Nature methods. 2026. DOI: 10.1038/s41592-026-03085-y.

Предметные рубрики MeSH

ProteomicsMass SpectrometryArtificial IntelligenceHumansProteinsMultiomicsAnimals
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