Article
Learning epistatic interactions from sequence-activity data to predict enantioselectivity.
Journal of computer-aided molecular design - 1 Dec 2017
Zaugg Julian, Gumulya Yosephine, Malde Alpeshkumar K, Bodén Mikael
Abstract excerpt
Enzymes with a high selectivity are desirable for improving economics of chemical synthesis of enantiopure compounds. To improve enzyme selectivity mutations are often introduced near the catalytic active site. In this compact environment epistatic interactions between residues, where contributions to selectivity are non-additive, play a significant role in determining the degree of selectivity. Using support...
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