Literature DB >> 27394125

Mode localization in the cooperative dynamics of protein recognition.

J Copperman1, M G Guenza2.   

Abstract

The biological function of proteins is encoded in their structure and expressed through the mediation of their dynamics. This paper presents a study on the correlation between local fluctuations, binding, and biological function for two sample proteins, starting from the Langevin Equation for Protein Dynamics (LE4PD). The LE4PD is a microscopic and residue-specific coarse-grained approach to protein dynamics, which starts from the static structural ensemble of a protein and predicts the dynamics analytically. It has been shown to be accurate in its prediction of NMR relaxation experiments and Debye-Waller factors. The LE4PD is solved in a set of diffusive modes which span a vast range of time scales of the protein dynamics, and provides a detailed picture of the mode-dependent localization of the fluctuation as a function of the primary structure of the protein. To investigate the dynamics of protein complexes, the theory is implemented here to treat the coarse-grained dynamics of interacting macromolecules. As an example, calculations of the dynamics of monomeric and dimerized HIV protease and the free Insulin Growth Factor II Receptor (IGF2R) domain 11 and its IGF2R:IGF2 complex are presented. Either simulation-derived or experimentally measured NMR conformers are used as input structural ensembles to the theory. The picture that emerges suggests a dynamical heterogeneous protein where biologically active regions provide energetically comparable conformational states that are trapped by a reacting partner in agreement with the conformation-selection mechanism of binding.

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Year:  2016        PMID: 27394125     DOI: 10.1063/1.4954506

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  2 in total

Review 1.  A Dynamic Overview of Antimicrobial Peptides and Their Complexes.

Authors:  Viviane Silva de Paula; Ana Paula Valente
Journal:  Molecules       Date:  2018-08-15       Impact factor: 4.411

2.  Anomalous Dynamics in Macromolecular Liquids.

Authors:  Marina G Guenza
Journal:  Polymers (Basel)       Date:  2022-02-22       Impact factor: 4.329

  2 in total

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