Title
Reconstruction of ancestral L-amino acid oxidases to broaden substrate selectivity
Conference Dates
September 15-19, 2019
Abstract
Characteristic functions of enzymes, such as high thermal stability and substrate specificity, are attained during the evolutionary process. Ancestral sequence reconstruction (ASR) is applied to infer the process by designing artificial enzymes which are located on ancestral node of phylogenetic tree; here, the inferred enzymes called ancestral enzymes. Ancestral enzymes often exhibit substrate promiscuity and high thermal stability of which functions are suitable to perform enzyme engineering. In addition, applicability of the ASR is high because the method requires only sequence data to design ancestral enzymes. Thus, we believe that artificial enzymes contributing to progress in enzyme engineering can be designed by ASR.
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Recommended Citation
Shogo Nakano, Masazumi Niwa, Sohei Ito, Yuki Minamino, and Yasuhisa Asano, "Reconstruction of ancestral L-amino acid oxidases to broaden substrate selectivity" in "Enzyme Engineering XXV", Huimin Zhao, University of Illinois at Urbana-Champaign, USA John Wong, Pfizer, USA Eds, ECI Symposium Series, (2019). https://dc.engconfintl.org/enzyme_xxv/134