Amino acid alphabet size in protein evolution experiments:: better to search a small library thoroughly or a large library sparsely?

被引:16
作者
Munoz, Enrique [1 ,2 ]
Deem, Michael W. [1 ,2 ]
机构
[1] Rice Univ, Dept Biochem, Houston, TX 77005 USA
[2] Rice Univ, Dept Phys & Astron, Houston, TX 77005 USA
关键词
antibody engineering; directed evolution; generalized NK model; protein engineering; reduced amino acid code;
D O I
10.1093/protein/gzn007
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
We compare the results obtained from searching a smaller library thoroughly versus searching a more diverse, larger library sparsely. We study protein evolution with reduced amino acid alphabets, by simulating directed evolution experiments at three different alphabet sizes: 20, 5 and 2. We employ a physical model for evolution, the generalized NK model, that has proved successful in modeling protein evolution, antibody evolution and T-cell selection. We find that antibodies with higher affinity are found by searching a library with a larger alphabet sparsely than by searching a smaller library thoroughly, even with well-designed reduced libraries. We also find ranked amino acid usage frequencies in agreement with observations of the CDR-H3 variable region of human antibodies.
引用
收藏
页码:311 / 317
页数:7
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