PMID:22022616

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Citation

Ma, CW, Xiu, ZL and Zeng, AP (2011) A new concept to reveal protein dynamics based on energy dissipation. PLoS ONE 6:e26453

Abstract

Protein dynamics is essential for its function, especially for intramolecular signal transduction. In this work we propose a new concept, energy dissipation model, to systematically reveal protein dynamics upon effector binding and energy perturbation. The concept is applied to better understand the intramolecular signal transduction during allostery of enzymes. The E. coli allosteric enzyme, aspartokinase III, is used as a model system and special molecular dynamics simulations are designed and carried out. Computational results indicate that the number of residues affected by external energy perturbation (i.e. caused by a ligand binding) during the energy dissipation process shows a sigmoid pattern. Using the two-state Boltzmann equation, we define two parameters, the half response time and the dissipation rate constant, which can be used to well characterize the energy dissipation process. For the allostery of aspartokinase III, the residue response time indicates that besides the ACT2 signal transduction pathway, there is another pathway between the regulatory site and the catalytic site, which is suggested to be the β15-αK loop of ACT1. We further introduce the term "protein dynamical modules" based on the residue response time. Different from the protein structural modules which merely provide information about the structural stability of proteins, protein dynamical modules could reveal protein characteristics from the perspective of dynamics. Finally, the energy dissipation model is applied to investigate E. coli aspartokinase III mutations to better understand the desensitization of product feedback inhibition via allostery. In conclusion, the new concept proposed in this paper gives a novel holistic view of protein dynamics, a key question in biology with high impacts for both biotechnology and biomedicine.

Links

PubMed PMC3195717 Online version:10.1371/journal.pone.0026453

Keywords

Amino Acids/metabolism; Aspartate Kinase/chemistry; Aspartate Kinase/metabolism; Catalytic Domain; Escherichia coli/enzymology; Evolution, Molecular; Models, Molecular; Molecular Dynamics Simulation; Mutation/genetics; Thermodynamics; Time Factors

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