计算生物学
质谱法
药物发现
表征(材料科学)
蛋白质功能
功能(生物学)
化学
结构生物信息学
蛋白质结构
生物
纳米技术
生物化学
细胞生物学
材料科学
色谱法
基因
作者
Zheyi Liu,Xiong Chen,Shirui Yang,Ruijun Tian,Zheyi Liu
标识
DOI:10.1016/j.cbpa.2023.102305
摘要
The discovery of functional protein complex and the interrogation of the complex structure-function relationship (SFR) play crucial roles in the understanding and intervention of biological processes. Affinity purification-mass spectrometry (AP-MS) has been proved as a powerful tool in the discovery of protein complexes. However, validation of these novel protein complexes as well as elucidation of their molecular interaction mechanisms are still challenging. Recently, native top-down MS (nTDMS) is rapidly developed for the structural analysis of protein complexes. In this review, we discuss the integration of AP-MS and nTDMS in the discovery and structural characterization of functional protein complexes. Further, we think the emerging artificial intelligence (AI)-based protein structure prediction is highly complementary to nTDMS and can promote each other. We expect the hybridization of integrated structural MS with AI prediction to be a powerful workflow in the discovery and SFR investigation of functional protein complexes.
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