Integrated mass spectrometry strategy for functional protein complex discovery and structural characterization

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...

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Veröffentlicht in:Current opinion in chemical biology 2023-06, Vol.74, p.102305-102305, Article 102305
Hauptverfasser: Liu, Zheyi, Chen, Xiong, Yang, Shirui, Tian, Ruijun, Wang, Fangjun
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Chen, Xiong
Yang, Shirui
Tian, Ruijun
Wang, Fangjun
description 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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subjects Affinity purification-mass spectrometry
Artificial Intelligence
Artificial intelligence prediction
Mass Spectrometry - methods
Native top-down mass spectrometry
Protein complex
Proteins - chemistry
Structure-function relationship
title Integrated mass spectrometry strategy for functional protein complex discovery and structural characterization
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