Determinants of protein function revealed by combinatorial entropy optimization

被引:232
作者
Reva, Boris [1 ]
Antipin, Yevgeniy [1 ]
Sander, Chris [1 ]
机构
[1] Mem Sloan Kettering Canc Ctr, Computat Biol Ctr, New York, NY 10065 USA
关键词
D O I
10.1186/gb-2007-8-11-r232
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
We use a new algorithm (combinatorial entropy optimization [CEO]) to identify specificity residues and functional subfamilies in sets of proteins related by evolution. Specificity residues are conserved within a subfamily but differ between subfamilies, and they typically encode functional diversity. We obtain good agreement between predicted specificity residues and experimentally known functional residues in protein interfaces. Such predicted functional determinants are useful for interpreting the functional consequences of mutations in natural evolution and disease.
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页数:15
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