Abstract

Protein dynamics plays key roles in ligand binding. However, the microscopic description of conformational dynamics-coupled ligand binding remains a challenge. In this study, we integrate molecular dynamics simulations, Markov state model (MSM) analysis and experimental methods to characterize the conformational dynamics of ligand-bound glutamine binding protein (GlnBP). We show that ligand-bound GlnBP has high conformational flexibility and additional metastable binding sites, presenting a more complex energy landscape than the scenario in the absence of ligand. The diverse conformations of GlnBP demonstrate different binding affinities and entail complex transition kinetics, implicating a concerted ligand binding mechanism. Single molecule fluorescence resonance energy transfer measurements and mutagenesis experiments are performed to validate our MSM-derived structure ensemble as well as the binding mechanism. Collectively, our study provides deeper insights into the protein dynamics-coupled ligand binding, revealing an intricate regulatory network underlying the apparent binding affinity.

Highlights

  • Protein dynamics plays key roles in ligand binding

  • We have combined Markov state model (MSM) based on extensive molecular dynamics (MD) simulations, single molecule fluorescence resonance energy transfer (smFRET), and site-directed mutagenesis to obtain a comprehensive insight into the conformational dynamics of ligand-bound glutamine binding protein (GlnBP) and elucidate its role in molecular recognition

  • Crystal structures have demonstrated that GlnBP is composed of two globular domains, the large domain and the small domain, connected by a hinge region, and the substrate glutamine binds at the domain surface (Fig. 1)[19,20]

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Summary

Introduction

Protein dynamics plays key roles in ligand binding. the microscopic description of conformational dynamics-coupled ligand binding remains a challenge. Complementary to experimental techniques, molecular dynamics (MD) simulations and Markov state models (MSMs) method have become popular tools to decipher the dynamic structural ensemble of proteins at both atomic resolution and biologically relevant timescales[38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53] They have been adopted to discover metastable state and provide the kinetic information for molecular recognition for PBPs31,54–58 and elucidated multiple metastable states for ligand-free GlnBP31. In the ligand-bound closed conformation, the ligand is shown in spheres

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