Single-molecule scale quantification reveals interactions underlying protein-protein interface: from forces to non-covalent bonds
Protein-protein interactions (PPIs) between the B-cell lymphoma 2 (Bcl-2) family are considered a major driving force in cell cycle regulation and signaling. However, how this interfacial noncovalent interaction is achieved molecularly remains poorly understood. Herein, anti-apoptotic protein (Bcl-2...
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Veröffentlicht in: | Physical chemistry chemical physics : PCCP 2023-11, Vol.25 (46), p.31791-3183 |
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Sprache: | eng |
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Zusammenfassung: | Protein-protein interactions (PPIs) between the B-cell lymphoma 2 (Bcl-2) family are considered a major driving force in cell cycle regulation and signaling. However, how this interfacial noncovalent interaction is achieved molecularly remains poorly understood. Herein, anti-apoptotic protein (Bcl-2) and pro-apoptotic protein (BAX) were used as models and their PPIs were explored for the first time using atomic force microscopy-based single-molecule force spectroscopy (SMFS) and
in silico
approaches. In addition, we used advanced analytical models, including multiple kinetic models, thermodynamic models, Poisson distributions, and contact angle molecular recognition to fully reveal the complexity of the BAX/Bcl-2 interaction interfaces. We propose that the binding kinetics between BAX/Bcl-2 are mainly mediated by specific (hydrogen bonding) and non-specific forces (hydrophobic interactions and electrostatic interactions) and show that the complicated multivalent binding interaction induces stable BAX/Bcl-2 complexes. This study enriches our understanding of the molecular mechanisms by which BAX interacts with Bcl-2. It provides valuable insights into the physical factors that need to be considered when designing PPI inhibitors.
Using atomic force microscopy-based single-molecule force spectroscopy to quantify noncovalent binding between BAX and Bcl-2, and observing that complicated multivalent binding interactions induced stable BAX/Bcl-2 complexes. |
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ISSN: | 1463-9076 1463-9084 |
DOI: | 10.1039/d3cp04351g |