XRscanning aims to establish novel enzyme engineering techniques for the improvement of carbohydrate-converting enzymes. Aim is increase of the predictive element in enzyme engineering projects and thus the shortening of development-time horizons in the development of biocatalytic processes. The scientific approach combines next-generation sequencing with intracellular selection assays for the identification of improved enzyme variants for a better correlation of sequence modifications with altered function. This so-called fitness landscape provides a systematic data set, whose evaluation is expected to speed up enzyme engineering considerably. The joint development of the expertise in deep mutational scanning is expected to increase the predictive element in enzyme engineering and to allow for a significant improvement of the this methodology. XRscanning focuses on the improvement of enzymes used for the valorization of lignocellulosic biomass.
|Effective start/end date||1/11/20 → 31/10/23|