Determinants of protein function revealed by combinatorial entropy optimization
Boris Reva(Memorial Sloan Kettering Cancer Center), Yevgeniy Antipin(Memorial Sloan Kettering Cancer Center), Chris Sander(Memorial Sloan Kettering Cancer Center)
Cited by 324Open Access
Abstract
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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