The Slowly Relaxing Local Structure Perspective of Protein Dynamics by NMR Relaxation

被引:2
|
作者
Meirovitch, Eva [1 ]
机构
[1] Bar Ilan Univ, Mina & Everard Goodman Fac Life Sci, IL-5290002 Ramat Gan, Israel
基金
以色列科学基金会;
关键词
molecular dynamics; NMR relaxation; proteins; stochastic models; time correlation functions; ELECTRON-SPIN-RESONANCE; MODEL-FREE APPROACH; MOLECULAR-DYNAMICS; ORDER PARAMETERS; LINE-SHAPES; TEMPERATURE-DEPENDENCE; COUPLING ANALYSIS; METHYL ROTATION; SRLS ANALYSIS; DOMAIN;
D O I
10.1002/ijch.201300090
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
NMR relaxation is a powerful method for elucidating structural dynamics. Standard stochastic dynamic models generate time correlation functions (TCFs) that feature physically well-defined parameters. We developed such a model, called the slowly relaxing local structure (SRLS) approach, for proteins. SRLS is a two-body (protein and probe) coupled-rotator approach. Given that the protein (featuring diffusion tensor, D-1) restricts the probe (featuring diffusion tensor, D-2), the two bodies are inherently coupled dynamically. This is substantiated by a local potential, u, associated with a local ordering tensor, S. SRLS allows for general tensorial properties of D-1, D-2, S and the magnetic NMR tensors, and a general form of u. The TCFs are multi-exponential, in accordance with the degree of generality of the various tensors. The traditional model-free (MF) method is based on a different conceptualization. According to it a mode-decoupling bi-exponential (one term for each rotator) TCF captures adequately the detectable features of structural dynamics. Hence, stochastic approaches are unnecessary. Here, we show that this (amply proven) oversimplification leads to physically vague constructs/composites as descriptors of structural dynamics. We illustrate misleading results obtained with MF when mode coupling, or S tensor asymmetry, dominate the analysis. Finally, we delineate the substantial advantage in using SRLS TCF as quantity to be compared with its atomistic molecular dynamicsbased counterpart.
引用
收藏
页码:47 / 59
页数:13
相关论文
共 50 条
  • [31] Membrane Protein Structure, Function, and Dynamics: a Perspective from Experiments and Theory
    Cournia, Zoe
    Allen, Toby W.
    Andricioaei, Ioan
    Antonny, Bruno
    Baum, Daniel
    Brannigan, Grace
    Buchete, Nicolae-Viorel
    Deckman, Jason T.
    Delemotte, Lucie
    del Val, Coral
    Friedman, Ran
    Gkeka, Paraskevi
    Hege, Hans-Christian
    Henin, Jerome
    Kasimova, Marina A.
    Kolocouris, Antonios
    Klein, Michael L.
    Khalid, Syma
    Lemieux, M. Joanne
    Lindow, Norbert
    Roy, Mahua
    Selent, Jana
    Tarek, Mounir
    Tofoleanu, Florentina
    Vanni, Stefano
    Urban, Sinisa
    Wales, David J.
    Smith, Jeremy C.
    Bondar, Ana-Nicoleta
    JOURNAL OF MEMBRANE BIOLOGY, 2015, 248 (04) : 611 - 640
  • [32] General order parameter based correlation analysis of protein backbone motions between experimental NMR relaxation measurements and molecular dynamics simulations
    Liu, Qing
    Shi, Chaowei
    Yu, Lu
    Zhang, Longhua
    Xiong, Ying
    Tian, Changlin
    BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2015, 457 (03) : 467 - 472
  • [33] NMR structure and dynamics of the chimeric protein SH3-F2
    Kutyshenko, V. P.
    Gushchina, L. V.
    Khristoforov, V. S.
    Prokhorov, D. A.
    Timchenko, M. A.
    Kudrevatykh, Yu. A.
    Fedyukina, D. V.
    Filimonov, V. V.
    MOLECULAR BIOLOGY, 2010, 44 (06) : 948 - 957
  • [34] NMR relaxation interference effects and internal dynamics in γ-cyclodextrin
    Ghalebani, Leila
    Kotsyubynskyy, Dmytro
    Kowalewski, Jozef
    JOURNAL OF MAGNETIC RESONANCE, 2008, 195 (01) : 1 - 8
  • [35] Protein dynamics using frequency-dependent order parameters from analysis of NMR relaxation data
    Idiyatullin, D
    Daragan, VA
    Mayo, KH
    JOURNAL OF MAGNETIC RESONANCE, 2003, 161 (01) : 118 - 125
  • [36] Computational approaches to the interpretation of NMR data for studying protein dynamics
    Markwick, Phineus R. L.
    Nilges, Michael
    CHEMICAL PHYSICS, 2012, 396 : 124 - 134
  • [37] Quantifying protein dynamics in the ps-ns time regime by NMR relaxation
    Hernandez, Griselda
    LeMaster, David M.
    JOURNAL OF BIOMOLECULAR NMR, 2016, 66 (03) : 163 - 174
  • [38] Protein NMR Structure Refinement based on Bayesian Inference
    Ikeya, Teppei
    Ikeda, Shiro
    Kigawa, Takanori
    Ito, Yutaka
    Guntert, Peter
    INTERNATIONAL MEETING ON HIGH-DIMENSIONAL DATA-DRIVEN SCIENCE (HD3-2015), 2016, 699
  • [39] Protein Functional Dynamics in Multiple Timescales as Studied by NMR Spectroscopy
    Ortega, Gabriel
    Pons, Miquel
    Millet, Oscar
    DYNAMICS OF PROTEINS AND NUCLEIC ACIDS, 2013, 92 : 219 - 251
  • [40] From NMR Relaxation to Fractional Brownian Dynamics in Proteins: Results from a Virtual Experiment
    Calligari, Paolo
    Calandrini, Vania
    Kneller, Gerald R.
    Abergel, Daniel
    JOURNAL OF PHYSICAL CHEMISTRY B, 2011, 115 (43) : 12370 - 12379