共 46 条
Computational Predictions of the Mutant Behavior of AraC
被引:5
作者:
Berrondo, Monica
[1
]
Gray, Jeffrey J.
[1
]
Schleif, Robert
[1
]
机构:
[1] Johns Hopkins Univ, Dept Biol, Baltimore, MD 21218 USA
关键词:
mutant activity prediction;
protein folding;
protein structure prediction;
PROTEIN STABILITY;
DOMAIN INTERACTIONS;
DESIGN;
MODEL;
REPRESSION;
SEQUENCE;
ARM;
OPTIMIZATION;
POTENTIALS;
MUTATIONS;
D O I:
10.1016/j.jmb.2010.03.021
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:
An algorithm implemented in Rosetta correctly predicts the folding capabilities of the 17-residue N-terminal arm of the AraC gene regulatory protein when arabinose is bound to the protein and the dramatically different structure of this arm when arabinose is absent. The transcriptional activity of 43 mutant AraC proteins with alterations in the arm sequences was measured in vivo and compared with their predicted folding properties. Seventeen of the mutants possessed regulatory properties that could be directly compared with folding predictions. Sixteen of the 17 mutants were correctly predicted. The algorithm predicts that the N-terminal arm sequences of AraC homologs fold to the Escherichia cob AraC arm structure. In contrast, it predicts that random sequences of the same length and many partially randomized E. cob arm sequences do not fold to the E. coli arm structure. The high level of success shows that relatively "simple" computational methods can in some cases predict the behavior of mutant proteins with good reliability. (C) 2010 Elsevier Ltd. All rights reserved.
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页码:462 / 470
页数:9
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