Abstract

The mechanism of intra-protein communication and allosteric coupling is key to understanding the structure-property relationship of protein function. For subtilisin Carlsberg, the Ca2+-binding loop is distal to substrate-binding and active sites, yet the serine protease function depends on Ca2+ binding. The atomic molecular dynamics (MD) simulations of apo and Ca2+-bound subtilisin show similar structures and there is no direct evidence that subtilisin has alternative conformations. To model the intra-protein communication due to Ca2+ binding, we transform the sequential segments of an atomic MD trajectory into separate elastic network models to represent anharmonicity and nonlinearity effectively as the temporal and spatial variation of the mechanical coupling network. In analogy to the spectrogram of sound waves, this transformation is termed the “fluctuogram” of protein dynamics. We illustrate that the Ca2+-bound and apo states of subtilisin have different fluctuograms and that intra-protein communication proceeds intermittently both in space and in time. We found that residues with large mechanical coupling variation due to Ca2+ binding correlate with the reported mutation sites selected by directed evolution for improving the stability of subtilisin and its activity in a non-aqueous environment. Furthermore, we utilize the fluctuograms calculated from MD to capture the highly correlated residues in a multiple sequence alignment. We show that in addition to the magnitude, the variance of coupling strength is also an indicative property for the sequence correlation observed in a statistical coupling analysis. The results of this work illustrate that the mechanical coupling networks calculated from atomic details can be used to correlate with functionally important mutation sites and co-evolution.

Highlights

  • During protein dynamics, the temporal and spatial couplings between amino acids are governed by the atomic details encoded in the sequence and protein’s environment

  • The fluctuation matching method is used to convert the configurations sampled in molecular dynamics (MD) simulation into the bond lengths and force constants in a Ca-SCENM to represent the mechanical coupling network in protein structure

  • An important concern is the functional roles of the anharmonicity and nonlinearity in protein dynamics, especially in allosteric coupling without a drastic structural change

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Summary

Introduction

The temporal and spatial couplings between amino acids are governed by the atomic details encoded in the sequence and protein’s environment. The classical induced-fit and population shift models highlight two essential features of intra-protein communication: the mechanical coupling (interaction energetics) between amino acids and the ensemble distribution of protein structures [1,2,3]. The population shift model emphasizes that the ensemble distribution of protein structures depends on ligand binding or other forms of molecular signals [2], and the equilibria between pre-existing conformations would shift as a result [11,12,13]. The response of structural distribution is often nonlinear, leading to properties such as cooperative binding It has been shown in many examples that the population shift model can be used to predict the thermodynamics of allosteric coupling and protein stability [19,20]

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