TRAJELIX: A Computational Tool for the Geometric Characterization of Protein Helices During Molecular Dynamics Simulations

被引:0
|
作者
Mihaly Mezei
Marta Filizola
机构
[1] Mount Sinai School of Medicine,Department of Physiology and Biophysics
[2] NYU,Department of Physiology & Biophysics
[3] Weill Medical College of Cornell University,undefined
关键词
helix geometry; α-helical proteins; membrane proteins; MD; SIMULAID;
D O I
暂无
中图分类号
学科分类号
摘要
We have developed a computer program with the necessary mathematical formalism for the geometric characterization of distorted conformations of alpha-helices proteins, such as those that can potentially be sampled during typical molecular dynamics simulations. This formalism has been incorporated into TRAJELIX, a new module within the SIMULAID framework (http://inka.mssm.edu/~mezei/simulaid/) that is capable of monitoring distortions of alpha-helices in terms of their displacement, global and local tilting, rotation around their axes, compression/extension, winding/unwinding, and bending. Accurate evaluation of these global and local structural properties of the helix can help study possible intramolecular and intermolecular changes in the helix packing of alpha-helical membrane proteins, as shown here in an application to the interacting helical domains of rhodopsin dimers. Quantification of the dynamic structural behavior of alpha-helical membrane proteins is critical for our understanding of signal transduction, and may enable structure-based design of more specific and efficient drugs.
引用
收藏
页码:97 / 107
页数:10
相关论文
共 50 条
  • [41] Stability of computational algorithms used in molecular dynamics simulations
    Satoh, A
    JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME, 1995, 117 (03): : 531 - 534
  • [42] Molecular dynamics pre-simulations for nanoscale computational fluid dynamics
    Holland, David M.
    Lockerby, Duncan A.
    Borg, Matthew K.
    Nicholls, William D.
    Reese, Jason M.
    MICROFLUIDICS AND NANOFLUIDICS, 2015, 18 (03) : 461 - 474
  • [43] Molecular dynamics pre-simulations for nanoscale computational fluid dynamics
    David M. Holland
    Duncan A. Lockerby
    Matthew K. Borg
    William D. Nicholls
    Jason M. Reese
    Microfluidics and Nanofluidics, 2015, 18 : 461 - 474
  • [44] Molecular Dynamics, Monte Carlo Simulations, and Langevin Dynamics: A Computational Review
    Paquet, Eric
    Viktor, Herna L.
    BIOMED RESEARCH INTERNATIONAL, 2015, 2015
  • [45] Computational close up on protein-protein interactions: how to unravel the invisible using molecular dynamics simulations?
    Rakers, Christin
    Bermudez, Marcel
    Keller, Bettina G.
    Mortier, Jeremie
    Wolber, Gerhard
    WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE, 2015, 5 (05) : 345 - 359
  • [46] Loos, a Better Tool to Analyze Molecular Dynamics Simulations
    Grossfield, Alan
    Romo, Tod D.
    BIOPHYSICAL JOURNAL, 2021, 120 (03) : 178A - 178A
  • [47] Amino-acid solvation structure in transmembrane helices from molecular dynamics simulations
    Johansson, Anna C. V.
    Lindahl, Erik
    BIOPHYSICAL JOURNAL, 2006, 91 (12) : 4450 - 4463
  • [48] MOLECULAR-DYNAMICS SIMULATIONS AND CIRCULAR-DICHROISM CALCULATIONS OF ISOLATED HELICES OF MYOGLOBIN
    HIRST, JD
    BROOKS, CL
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1994, 208 : 187 - PHYS
  • [49] Molecular dynamics simulations on the first two helices of Vpu from HIV-1
    Sramala, I
    Lemaitre, V
    Faraldo-Gómez, JD
    Vincent, S
    Watts, A
    Fischer, WB
    BIOPHYSICAL JOURNAL, 2003, 84 (05) : 3276 - 3284
  • [50] Molecular dynamics simulations of rhodopsin point mutants at the cytoplasmic side of helices 3 and 6
    Cordomi, Arnau
    Ramon, Eva
    Garriga, Pere
    Perez, Juan J.
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2008, 25 (06): : 573 - 587