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Coarse-Grained Models for Vault Normal Model Analysis.

D Vijay Anand1, Ronald Koh Joon Wei1, Kelin Xia2

  • 1School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, Singapore.

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|June 12, 2023
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Summary
This summary is machine-generated.

This study reveals vault complex dynamics using a novel multiscale model. Low-frequency modes explain experimental conformational changes, suggesting rotation and expansion drive vault opening.

Keywords:
Anisotropic network modelConformationEigenmodesNormal modeVault

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Area of Science:

  • Structural biology
  • Computational biophysics

Background:

  • Vaults are large molecular machines exhibiting significant conformational changes in shoulder and cap regions.
  • Experimental data shows outward shoulder movement and upward cap rotation during vault conformational changes.

Purpose of the Study:

  • To investigate vault complex dynamics and understand the mechanisms behind observed conformational changes.
  • To apply a novel computational method for analyzing large molecular structures.

Main Methods:

  • Employed a multiscale virtual particle-based anisotropic network model (MVP-ANM) for vault dynamics.
  • Coarse-grained the 39-folder vault structure to approximately 6000 virtual particles to reduce computational cost.

Main Results:

  • Identified two key low-frequency eigenmodes (Mode 9 and Mode 20) correlating with experimental observations.
  • Mode 9 showed shoulder expansion and cap lifting; Mode 20 demonstrated clear rotation in both regions.
  • Results are consistent with experimental data, validating the MVP-ANM approach.

Conclusions:

  • The study provides the first normal mode analysis of the vault complex.
  • Low-frequency modes suggest vault opening likely involves rotation and expansion at the waist, shoulder, and lower cap regions.