Literature DB >> 26049424

Couplings between hierarchical conformational dynamics from multi-time correlation functions and two-dimensional lifetime spectra: Application to adenylate kinase.

Junichi Ono1, Shoji Takada1, Shinji Saito1.   

Abstract

An analytical method based on a three-time correlation function and the corresponding two-dimensional (2D) lifetime spectrum is developed to elucidate the time-dependent couplings between the multi-timescale (i.e., hierarchical) conformational dynamics in heterogeneous systems such as proteins. In analogy with 2D NMR, IR, electronic, and fluorescence spectroscopies, the waiting-time dependence of the off-diagonal peaks in the 2D lifetime spectra can provide a quantitative description of the dynamical correlations between the conformational motions with different lifetimes. The present method is applied to intrinsic conformational changes of substrate-free adenylate kinase (AKE) using long-time coarse-grained molecular dynamics simulations. It is found that the hierarchical conformational dynamics arise from the intra-domain structural transitions among conformational substates of AKE by analyzing the one-time correlation functions and one-dimensional lifetime spectra for the donor-acceptor distances corresponding to single-molecule Förster resonance energy transfer experiments with the use of the principal component analysis. In addition, the complicated waiting-time dependence of the off-diagonal peaks in the 2D lifetime spectra for the donor-acceptor distances is attributed to the fact that the time evolution of the couplings between the conformational dynamics depends upon both the spatial and temporal characters of the system. The present method is expected to shed light on the biological relationship among the structure, dynamics, and function.

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Year:  2015        PMID: 26049424     DOI: 10.1063/1.4914328

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


  3 in total

1.  Using microsecond single-molecule FRET to determine the assembly pathways of T4 ssDNA binding protein onto model DNA replication forks.

Authors:  Carey Phelps; Brett Israels; Davis Jose; Morgan C Marsh; Peter H von Hippel; Andrew H Marcus
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-17       Impact factor: 11.205

2.  Using Multiorder Time-Correlation Functions (TCFs) To Elucidate Biomolecular Reaction Pathways from Microsecond Single-Molecule Fluorescence Experiments.

Authors:  Carey Phelps; Brett Israels; Morgan C Marsh; Peter H von Hippel; Andrew H Marcus
Journal:  J Phys Chem B       Date:  2016-12-19       Impact factor: 2.991

3.  High-speed AFM reveals accelerated binding of agitoxin-2 to a K+ channel by induced fit.

Authors:  A Sumino; T Sumikama; T Uchihashi; S Oiki
Journal:  Sci Adv       Date:  2019-07-03       Impact factor: 14.136

  3 in total

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