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Identification of functionally key residues in maltose transporter with an elastic network model-based thermodynamic method
Authors:Dashuai Lv  Jianjun Tan  Xiaoyi Zhang  Cunxin Wang
Affiliation:College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China
Abstract:Periplasmic binding protein-dependent maltose transport system (MBP-MalFGK2) of Escherichia coli, an important member of the Adenosine triphosphate-binding cassette transporter superfamily, is in charge of the transportation of maltoses across cellular membrane. Studies have shown that this transport processes are activated by the binding of maltose and are accompanied by large-scale cooperative movements between different domains which are mediated by a network of important residues related to signal transduction and allosteric regulation. In this paper, the functionally crucial residues and long-range allosteric pathway of the regulation of the system by substrate were identified by utilising a coarse-grained thermodynamic method proposed by our group. The residues whose perturbations markedly change the binding free energy between maltoses and MBP-MalFGK2 were considered to be key residues. In result, the key residues in 62 clusters distributed in different subdomains were identified successfully, and the results from our calculation are highly consistent with experimental and theoretical observations. Furthermore, we explored the long-range cooperation within the transporter. These studies will help us better understand the physical mechanism of the effects of the maltose on MBP-MalFGK2 by long-range allosteric modulation.
Keywords:Maltose transporter  thermodynamic cycle  key residues  elastic network model  long-range coupling
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