AN ALGORITHM FOR PROTEIN ENGINEERING - SIMULATIONS OF RECURSIVE ENSEMBLE MUTAGENESIS

被引:26
作者
ARKIN, AP [1 ]
YOUVAN, DC [1 ]
机构
[1] MIT, DEPT CHEM, ROOM 56-213, 77 MASSACHUSETTS AVE, CAMBRIDGE, MA 02139 USA
关键词
COMBINATORIAL OPTIMIZATION; ARTIFICIAL INTELLIGENCE; RANDOM MUTAGENESIS; GENETIC CODE; GENETIC ALGORITHMS;
D O I
10.1073/pnas.89.16.7811
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
An algorithm for protein engineering, termed recursive ensemble mutagenesis, has been developed to produce diverse populations of phenotypically related mutants whose members differ in amino acid sequence. This method uses a feedback mechanism to control successive rounds of combinatorial cassette mutagenesis. Starting from partially randomized "wild-type" DNA sequences, a highly parallel search of sequence space for peptides fitting an experimenter's criteria is performed. Each iteration uses information gained from the previous rounds to search the space more efficiently. Simulations of the technique indicate that, under a variety of conditions, the algorithm can rapidly produce a diverse population of proteins fitting specific criteria. In the experimental analog, genetic selection or screening applied during recursive ensemble mutagenesis should force the evolution of an ensemble of mutants to a targeted cluster of related phenotypes.
引用
收藏
页码:7811 / 7815
页数:5
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