Evolutionary protein stabilization in comparison with computational design

被引:24
作者
Wunderlich, M
Martin, A
Staab, CA
Schmid, FX
机构
[1] Univ Bayreuth, Biochem Lab, D-95440 Bayreuth, Germany
[2] Univ Bayreuth, Bayreuther Zentrum Mol Biowissensch, D-95440 Bayreuth, Germany
关键词
protein stability; in vitro selection; phage display; computational protein design; streptococcal protein G;
D O I
10.1016/j.jmb.2005.06.059
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Two major strategies are currently used for stabilizing proteins: in vitro evolution and computational design. Here, we used gene libraries of the 1 domain of the streptococcal protein G (G beta 1) and Proside, an in vitro selection method, to identify stabilized variants of this protein. In the G beta 1 libraries, the codons for the four boundary positions 16, 18, 25, and 29 were randomized. Many G beta 1 variants with strongly increased thermal stabilities were found in 11 selections performed with five independent libraries. Previously, Mayo and co-workers used computational design to stabilize G beta 1 by sequence optimization at the same positions. Their best variant ranked third within the panel of the selected variants. None of the ten computed sequences was found in the Proside selections, because several computed residues for positions 18 and 29 were not optimal for stability. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1160 / 1168
页数:9
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