Automated Design of Efficient and Functionally Diverse Enzyme Repertoires

Olga Khersonsky, Rosalie Lipsh, Ziv Avizemer, Yacov Ashani, Moshe Goldsmith, Haim Leader, Orly Dym, Shelly Rogotner, Devin L. Trudeau, Jaime Prilusky, Pep Amengual-Rigo, Victor Guallar, Dan S. Tawfik, Sarel J. Fleishman

Research output: Contribution to journalArticlepeer-review

Abstract

Substantial improvements in enzyme activity demand multiple mutations at spatially proximal positions in the active site. Such mutations, however, often exhibit unpredictable epistatic (non-additive) effects on activity. Here we describe FuncLib, an automated method for designing multipoint mutations at enzyme active sites using phylogenetic analysis and Rosetta design calculations. We applied FuncLib to two unrelated enzymes, a phosphotriesterase and an acetyl-CoA synthetase. All designs were active, and most showed activity profiles that significantly differed from the wild-type and from one another. Several dozen designs with only 3–6 active-site mutations exhibited 10- to 4,000-fold higher efficiencies with a range of alternative substrates, including hydrolysis of the toxic organophosphate nerve agents soman and cyclosarin and synthesis of butyryl-CoA. FuncLib is implemented as a web server (http://FuncLib.weizmann.ac.il); it circumvents iterative, high-throughput experimental screens and opens the way to designing highly efficient and diverse catalytic repertoires.

Original languageEnglish
Pages (from-to)178-186.e5
Number of pages14
JournalMolecular Cell
Volume72
Issue number1
Early online date27 Sep 2018
DOIs
StatePublished - 4 Oct 2018

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Cell Biology

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