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Dissecting the Critical Factors for Thermodynamic Stability of Modular Proteins Using Molecular Modeling Approach.

Authors :
Lee, Yuno
Lee, Joong-jae
Kim, Songmi
Lee, Sang-Chul
Han, Jieun
Heu, Woosung
Park, Keunwan
Kim, Hyun Jung
Cheong, Hae-Kap
Kim, Dongsup
Kim, Hak-Sung
Lee, Keun Woo
Source :
PLoS ONE. May2014, Vol. 9 Issue 5, p1-8. 8p.
Publication Year :
2014

Abstract

Repeat proteins have recently attracted much attention as alternative scaffolds to immunoglobulin antibodies due to their unique structural and biophysical features. In particular, repeat proteins show high stability against temperature and chaotic agents. Despite many studies, structural features for the stability of repeat proteins remain poorly understood. Here we present an interesting result from in silico analyses pursuing the factors which affect the stability of repeat proteins. Previously developed repebody structure based on variable lymphocytes receptors (VLRs) which consists of leucine-rich repeat (LRR) modules was used as initial structure for the present study. We constructed extra six repebody structures with varying numbers of repeat modules and those structures were used for molecular dynamics simulations. For the structures, the intramolecular interactions including backbone H-bonds, van der Waals energy, and hydrophobicity were investigated and then the radius of gyration, solvent-accessible surface area, ratio of secondary structure, and hydration free energy were also calculated to find out the relationship between the number of LRR modules and stability of the protein. Our results show that the intramolecular interactions lead to more compact structure and smaller surface area of the repebodies, which are critical for the stability of repeat proteins. The other features were also well compatible with the experimental results. Based on our observations, the repebody-5 was proposed as the best structure from the all repebodies in structure optimization process. The present study successfully demonstrated that our computer-based molecular modeling approach can significantly contribute to the experiment-based protein engineering challenge. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
9
Issue :
5
Database :
Academic Search Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
96284047
Full Text :
https://doi.org/10.1371/journal.pone.0098243