Abstract

The dynamic structure of proteins is essential for their functions and may include large conformational transitions which can be studied by molecular dynamics (MD) simulations. However, details of these transitions are difficult to automatically track. To facilitate their analysis, we developed two scores of correlation between sidechain dihedral angles. The CIRCULAR and OMES scores are computed from, respectively, dihedral angle values and rotamer distributions. As a case study, we applied our methods to an activation-like transition of the chemokine receptor CXCR4, observed during accelerated MD simulations. The principal component analysis of the correlation matrices was consistent with the networking structure of the top ranking pairs. Both scores identify a set of residues whose “collaborative” sidechain rotamerization immediately preceded or accompanied the conformational transition of CXCR4. Detailed analysis of the sequential order of these rotamerizations suggests that an allosteric mechanism, involving the outward motion of an asparagine residue in transmembrane helix 3, might be a prerequisite to the large scale conformational transition of CXCR4. This case study provides the proof-of-concept that the correlation methods developed here are valuable exploratory techniques to help decipher complex reactional pathways.

Highlights

  • The dynamic structure of proteins is essential for their functions and may include large conformational transitions which can be studied by molecular dynamics (MD) simulations

  • The experimental techniques developed to access these motions can be complemented by molecular dynamics (MD) simulations that provide a dynamic view of protein s­ tructures[3,4,5,6,7]

  • As sidechain motions are best described in terms of internal coordinates by using dihedral a­ ngles[30,31], we developed an approach based on the correlation of either dihedral angles or rotamer distributions (CIRCULAR and OMES scores, respectively), and we applied it to our case study

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Summary

Introduction

The dynamic structure of proteins is essential for their functions and may include large conformational transitions which can be studied by molecular dynamics (MD) simulations. Details of these transitions are difficult to automatically track. The principal component analysis of the correlation matrices was consistent with the networking structure of the top ranking pairs Both scores identify a set of residues whose “collaborative” sidechain rotamerization immediately preceded or accompanied the conformational transition of CXCR4. To bridge the gap between computationally accessible and biologically relevant timescales, numerous molecular dynamics techniques aimed at accelerating simulations have been developed These simulations include coarse grained simulations, normal mode analysis and a variety of techniques aimed at reducing the energy barriers between interconverting ­conformations[4,6].

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