Journal of Shanghai University(Natural Science Edition)
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SHEN Chen-yi,LI Feng,PENG Xin-jun,LIU Xiang,WANG Yi-fei
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Abstract: Mutation analysis in proteins is important in the analysis of active sites in proteins, proteinprotein interactions and protein function. Generally,it is still a hard and time-consuming work by experiments. Therefore it becomes increasingly important to simulate protein site-directed systematic mutation in silicon and to provide reasonable evaluations for each mutant. In this paper,a method to implement protein systematic mutation in silicon is introduced. Each of the mutated structures is evaluated by its free energy. Computation is then performed on these free energies with an ensemble optimization algorithm. A reasonable evaluation is also proposed. Comparison with the recent results in biological experiments is made. Computational result shows an accuracy of 69.23% with a false positive rate30.77%.
Key words: accessible surface area (ASA), mutation analysis, protein systematic mutation, self-consistent ensemble optimization
CLC Number:
O 224
SHEN Chen-yi;LI Feng;PENG Xin-jun;LIU Xiang;WANG Yi-fei. SelfConsistent Ensemble Optimization and Its Implementationfor Mutation Analysis in Proteins[J]. Journal of Shanghai University(Natural Science Edition).
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https://www.journal.shu.edu.cn/EN/Y2008/V14/I4/377