Prediction of allosteric sites on protein surfaces with an elastic-network-model-based thermodynamic method

Ji Guo Su, Li Sheng Qi, Chun Hua Li, Yan Ying Zhu, Hui Jing Du, Yan Xue Hou, Rui Hao, and Ji Hua Wang
Phys. Rev. E 90, 022719 – Published 27 August 2014

Abstract

Allostery is a rapid and efficient way in many biological processes to regulate protein functions, where binding of an effector at the allosteric site alters the activity and function at a distant active site. Allosteric regulation of protein biological functions provides a promising strategy for novel drug design. However, how to effectively identify the allosteric sites remains one of the major challenges for allosteric drug design. In the present work, a thermodynamic method based on the elastic network model was proposed to predict the allosteric sites on the protein surface. In our method, the thermodynamic coupling between the allosteric and active sites was considered, and then the allosteric sites were identified as those where the binding of an effector molecule induces a large change in the binding free energy of the protein with its ligand. Using the proposed method, two proteins, i.e., the 70 kD heat shock protein (Hsp70) and GluA2 alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA) receptor, were studied and the allosteric sites on the protein surface were successfully identified. The predicted results are consistent with the available experimental data, which indicates that our method is a simple yet effective approach for the identification of allosteric sites on proteins.

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  • Received 7 January 2014
  • Revised 9 July 2014

DOI:https://doi.org/10.1103/PhysRevE.90.022719

©2014 American Physical Society

Authors & Affiliations

Ji Guo Su1,*, Li Sheng Qi2, Chun Hua Li3, Yan Ying Zhu1, Hui Jing Du1, Yan Xue Hou1, Rui Hao1, and Ji Hua Wang2,†

  • 1College of Science, Yanshan University, Qinhuangdao 066004, China
  • 2Shandong Provincial Key Laboratory of Functional Macromolecular Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China
  • 3College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100022, China

  • *jiguosu@ysu.edu.cn
  • jhw25336@126.com

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Issue

Vol. 90, Iss. 2 — August 2014

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