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Cracking the chaperone code through the computational microscope

delete2024-10-01
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OA
AI
F
Federica Guarra
C
Cristiano Sciva
G
Giorgio Bonollo
C
Chiranjeevi Pasala
G
Gabriela Chiosis
E
Elisabetta Moroni *
G
Giorgio Colombo *
DOI:10.1016/j.cstres.2024.08.001delete
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摘要

摘要

En 中文
The heat shock protein 90 kDa (Hsp90) chaperone machinery plays a crucial role in maintaining cellular homeostasis. Beyond its traditional role in protein folding, Hsp90 is integral to key pathways influencing cellular function in health and disease. Hsp90 operates through the modular assembly of large multiprotein complexes, with their composition, stability, and localization adapting to the cell's ' s needs. Its functional dynamics are finely tuned by ligand binding and post-translational modifications (PTMs). Here, we discuss how to disentangle the intricacies of the complex code that governs the crosstalk between dynamics, binding, PTMs, and the functions of the Hsp90 machinery using computer-based approaches. Specifically, we outline the contributions of computational and theoretical methods to the understanding of Hsp90 functions, ranging from providing atomic-level insights into its dynamics to clarifying the mechanisms of interactions with protein clients, cochaperones, and ligands. The knowledge generated in this framework can be actionable for the design and development of chemical tools and drugs targeting Hsp90 in specific disease-associated cellular contexts. Finally, we provide our perspective on how computation can be integrated into the study of the fine-tuning of functions in the highly complex Hsp90 landscape, complementing experimental methods for a comprehensive understanding of this important chaperone system.
Keyword:
Dynamics
Chaperone code
Hsp
Drug development
Functional assemblies
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Cell Stress and Chaperones 封面图
Cell Stress and Chaperones
IF:
3.2
论文数:
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被引数:
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U
university of pavia
学者数:
2.1W
论文数: 1.6W
被引数: 8
M
Memorial Sloan Kettering Cancer Center
学者数:
3.4W
论文数: 2.4W
被引数: 4.6W
C
consiglio nazionale delle ricerche (cnr)
学者数:
6.2W
论文数: 5.7W
被引数: 48
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