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Wang WB, Zhu JZ, Li XY, Li CH, Su JG, Li JY. Enhancement of protein mechanical stability: Correlated deformations are handcuffed by ligand binding. J Chem Phys 2019; 150:155102. [PMID: 31005084 DOI: 10.1063/1.5054932] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
As revealed by previous experiments, protein mechanical stability can be effectively regulated by ligand binding with the binding site distant from the force-bearing region. However, the mechanism for such long-range allosteric control of protein mechanics is still largely unknown. In this work, we use protein topology-based elastic network model (ENM) and all-atomic steered molecular dynamics (SMD) simulations to study the impact of ligand binding on protein mechanical stability in two systems, i.e., GB1 and CheY-binding P2-domain of CheA (CBDCheA). Both ENM and SMD results show that the ligand binding has considerable and negligible effects on the mechanical stability of these two proteins, respectively. These results are consistent with the experimental observations. A physical mechanism for the enhancement of protein mechanical stability was then proposed: the correlated deformations of the force-bearing region and the binding site are handcuffed by the binding of ligand. The handcuff effect suppresses the propagation of internal force in the force-bearing region, thus improving the resistance to the loading force. Our study indicates that ENM method can effectively identify the structure motifs allosterically related to the deformation in the force bearing region, as well as the force propagation pathway within the structure of the studied proteins. Hence, it should be helpful to understand the molecular origin of the different mechanical properties in response to ligand binding for GB1 and CBDCheA.
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Affiliation(s)
- Wei Bu Wang
- Key Laboratory for Microstructural Material Physics of Hebei Province, College of Science, Yanshan University, Qinhuangdao 066004, China
| | - Jian Zhuo Zhu
- Key Laboratory for Microstructural Material Physics of Hebei Province, College of Science, Yanshan University, Qinhuangdao 066004, China
| | - Xing Yuan Li
- Key Laboratory for Microstructural Material Physics of Hebei Province, College of Science, Yanshan University, Qinhuangdao 066004, China
| | - Chun Hua Li
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
| | - Ji Guo Su
- Key Laboratory for Microstructural Material Physics of Hebei Province, College of Science, Yanshan University, Qinhuangdao 066004, China
| | - Jing Yuan Li
- Institute of Quantitative Biology and Department of Physics, Zhejiang University, Hangzhou 310027, China
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Nasedkin A, Davidsson J, Niemi AJ, Peng X. Solution x-ray scattering and structure formation in protein dynamics. Phys Rev E 2018; 96:062405. [PMID: 29347365 DOI: 10.1103/physreve.96.062405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Indexed: 11/07/2022]
Abstract
We propose a computationally effective approach that builds on Landau mean-field theory in combination with modern nonequilibrium statistical mechanics to model and interpret protein dynamics and structure formation in small- to wide-angle x-ray scattering (S/WAXS) experiments. We develop the methodology by analyzing experimental data in the case of Engrailed homeodomain protein as an example. We demonstrate how to interpret S/WAXS data qualitatively with a good precision and over an extended temperature range. We explain experimental observations in terms of protein phase structure, and we make predictions for future experiments and for how to analyze data at different ambient temperature values. We conclude that the approach we propose has the potential to become a highly accurate, computationally effective, and predictive tool for analyzing S/WAXS data. For this, we compare our results with those obtained previously in an all-atom molecular dynamics simulation.
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Affiliation(s)
- Alexandr Nasedkin
- Department of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Jan Davidsson
- Department of Chemistry, Uppsala University, P. O. Box 803, S-75108, Uppsala, Sweden
| | - Antti J Niemi
- Department of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.,Nordita, Stockholm University, Roslagstullsbacken 23, SE-106 91 Stockholm, Sweden.,Department of Physics and Astronomy, Uppsala University, P. O. Box 803, S-75108, Uppsala, Sweden.,Laboratoire de Mathematiques et Physique Theorique CNRS UMR 6083, Fédération Denis Poisson, Université de Tours, Parc de Grandmont, F37200, Tours, France.,School of Physics, Beijing Institute of Technology, Beijing 100081, P.R. China.,Laboratory of Physics of Living Matter, School of Biomedicine, Far Eastern Federal University, Vladivostok 690090, Russia¶
| | - Xubiao Peng
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T1Z4, Canada
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