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Side-chain dynamics analysis of KE07 series.

Authors :
Geng, Xin
Zhou, Jiaogen
Guan, Jihong
Source :
Computational Biology & Chemistry. Dec2016, Vol. 65, p148-153. 6p.
Publication Year :
2016

Abstract

The significant improvement of KE07 series in catalytic activities shows the great success of computational design approaches combined with directed evolution in protein design. Understanding the protein dynamics in the evolutionary optimization process of computationally designed enzyme will provide profound implication to study enzyme function and guide protein design. Here, side chain squared generalized order parameters and entropy of each protein are calculated using 50 ns molecular dynamics simulation data in both apo and bound states. Our results show a correlation between the increase of side chain motion amplitude and catalytic efficiency. By analyzing the relationship between these two values, we find side chain squared generalized order parameter is linearly related to side chain entropy, which indicates the computationally designed KE07 series have similar dynamics property with natural enzymes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14769271
Volume :
65
Database :
Academic Search Index
Journal :
Computational Biology & Chemistry
Publication Type :
Academic Journal
Accession number :
119784097
Full Text :
https://doi.org/10.1016/j.compbiolchem.2016.09.007