Multiscale network model for large protein dynamics

Hyoseon Jang, Sung Soo Na, Kilho Eom

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Protein dynamics is essential for gaining insight into biological functions of proteins. Although protein dynamics is well delineated by molecular model, the molecular model is computationally prohibited for simulating large protein structures. In this work, we provide a multiscale network model (MNM) that allows the efficient computation on low-frequency normal modes related to structural deformation of proteins as well as dynamic behavior of functional sites. Specifically, MNM consists of two regions, one of which is described as a low-resolution structure, while the other is dictated by a high-resolution structure. The high-resolution regions using all alpha carbons of the protein are mainly binding site parts, which play a critical function in molecules, while the low-resolution parts are constructed from a further coarse-grained model (not using all alpha carbons). The feasibility of MNM to observe the cooperative motion of a protein structure was validated. It was shown that the MNM enables us to understand functional motion of proteins with computational efficiency.

Original languageEnglish
Article number245106
JournalJournal of Chemical Physics
Volume131
Issue number24
DOIs
Publication statusPublished - 2009 Dec 1

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proteins
Proteins
Molecular Models
Carbon
carbon
high resolution
Protein Binding
Computational efficiency
Binding Sites
low frequencies
Molecules
molecules

ASJC Scopus subject areas

  • Physical and Theoretical Chemistry
  • Medicine(all)
  • Physics and Astronomy(all)

Cite this

Multiscale network model for large protein dynamics. / Jang, Hyoseon; Na, Sung Soo; Eom, Kilho.

In: Journal of Chemical Physics, Vol. 131, No. 24, 245106, 01.12.2009.

Research output: Contribution to journalArticle

Jang, Hyoseon ; Na, Sung Soo ; Eom, Kilho. / Multiscale network model for large protein dynamics. In: Journal of Chemical Physics. 2009 ; Vol. 131, No. 24.
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