Rational Design for Enzyme Engineering Using a Next Generation Gene Synthesis Approach to Generate Combinatorial Variant Libraries | AIChE

Rational Design for Enzyme Engineering Using a Next Generation Gene Synthesis Approach to Generate Combinatorial Variant Libraries

Authors 


ACS Synthetic Biology

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Rational Design for Enzyme Engineering Using a Next Generation Gene Synthesis Approach to Generate Combinatorial Variant Libraries

Journal:

ACS Synthetic Biology

Manuscript ID:

Draft

Manuscript Type:

Viewpoint

Date Submitted by the Author:

n/a

Complete List of Authors:

Saaem, Ishtiaq; Gen9, Inc., Hudson, Michael; Gen9, Inc., Kung, Li; Gen9, Inc., Schindler, Daniel; Gen9, Inc., Guido, Nicholas; Gen9, Inc., Leake, Devin; Gen9, Inc.,

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ACS Synthetic Biology

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3 Rational Design for Enzyme Engineering Using a Next Generation Gene Synthesis Approach to Generate

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5 Combinatorial Variant Libraries

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7 Ali Saaem, Mike Hudson, Li Kung , Dan Schindler, Nick Guido, Devin Leake

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9 Gen9, Inc., 840 Memorial Drive, Cambridge, MA 02139

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11 The need for novel enzymes with a wide-range of activities has dramatically increased recently, and

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13 enzyme engineering strategies are evolving with innovative ways for creating combinatorial DNA

14 libraries, advanced HTS strategies, and computational design approaches. The challenge for successful

15 enzyme engineering is often narrowing the exploration of sequence space from the impractical size of all

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17 possible sequence permutations to a manageable number of variants. To increase the rate of success,

18 researchers generate libraries that target specific regions of the target enzyme, or even individual

19 positions, and create variants within these regions or positions. Designed libraries therefore aim at

20 increasing the ratio of advantageous to deleterious mutations, increasing the â??smart-nessâ? and utility of

22 the library. One method for generating this type of rationally designed library uses next generation gene

23 synthesis. With the BioFab® process as a starting point, we have developed a method that allows for a

24 rational design of high variant combinatorial libraries to be used for enzyme engineering. This unique

26 approach to the creation of high variant libraries shows a number of advantages to traditional

27 approaches, including a lack of representation bias. Here, we show that using a next generation gene

28 synthesis approach we are able to very rapidly create highly specific and diverse libraries.

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