Selection and evolution of enzymes from a partially randomized non-catalytic scaffold

Abstract
New enzymatic activities can be evolved de novo (that is, without the need for prior mechanistic information) by using mRNA-display. Functional proteins were selected for from an in vitro translated protein library of high complexity and it was possible to isolate novel RNA ligases that exhibited rate enhancements of more than two million-fold. Enzymes are exceptional catalysts that facilitate a wide variety of reactions under mild conditions, achieving high rate-enhancements with excellent chemo-, regio- and stereoselectivities. There is considerable interest in developing new enzymes for the synthesis of chemicals and pharmaceuticals1,2,3 and as tools for molecular biology. Methods have been developed for modifying and improving existing enzymes through screening, selection and directed evolution4,5. However, the design and evolution of truly novel enzymes has relied on extensive knowledge of the mechanism of the reaction6,7,8,9,10. Here we show that genuinely new enzymatic activities can be created de novo without the need for prior mechanistic information by selection from a naive protein library of very high diversity, with product formation as the sole selection criterion. We used messenger RNA display, in which proteins are covalently linked to their encoding mRNA11, to select for functional proteins from an in vitro translated protein library of >1012independent sequences without the constraints imposed by any in vivo step. This technique has been used to evolve new peptides and proteins that can bind a specific ligand12,13,14,15,16,17,18, from both random-sequence libraries12,14,15,16 and libraries based on a known protein fold17,18. We now describe the isolation of novel RNA ligases from a library that is based on a zinc finger scaffold18,19, followed by in vitro directed evolution to further optimize these enzymes. The resulting ligases exhibit multiple turnover with rate enhancements of more than two-million-fold.