Decoding Protein Dynamics in Cells Using Chemical Cross‐Linking and Hierarchical Analysis**

Author:

Zhang Beirong12,Gong Zhou3ORCID,Zhao Lili12,An Yuxin12,Gao Hang12,Chen Jing14,Liang Zhen1,Liu Maili3,Zhang Yukui1,Zhao Qun1ORCID,Zhang Lihua1ORCID

Affiliation:

1. CAS Key Labratory of Separation Science for Analytical Chemistry Dalian Institute of Chemical Physics Chinese Academy of Sciences 457 Zhongshan Road Dalian 116023 China

2. University of Chinese Academy of Sciences Beijing 100049 China

3. State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan 430071 China

4. School of Chemistry and Material Science University of Science and Technology of China 96 Jinzhai Road Hefei 230026 China

Abstract

AbstractProtein dynamics play a crucial role in their diverse functions. The intracellular environment significantly influences protein dynamics, particularly for intrinsically disordered proteins (IDPs). To comprehensively capture structural information from various proteins within cells and characterize protein dynamics, chemical cross‐linking mass spectrometry was employed. In this study, we introduce a hierarchical decoding strategy that enables the investigation of protein dynamics in vivo. Computational analysis based on distance restraints derived from cross‐links is used to infer protein dynamics in cells. To facilitate this analysis, we leverage the prior structure obtained from AlphaFold2. By employing this strategy, we can characterize the full‐length structure of multi‐domain proteins taking into account their distinct dynamic features. Furthermore, by combining restraint sampling with an unbiased sampling and evaluation approach, we can provide a comprehensive description of the intrinsic motion of IDPs. Consequently, the hierarchical strategy we propose holds significant potential in advancing our understanding of the molecular mechanisms that undelie protein functions in cells.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Chinese Academy of Sciences

Publisher

Wiley

Subject

General Medicine

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