title: Enzyme (re)design: lessons from natural evolution and computation.
abstract: The (re)design of enzymes to catalyze 'new' reactions is a topic of considerable practical and intellectual interest. Directed evolution (random mutagenesis followed by screening/selection) has been used widely to identify novel biocatalysts. However, 'rational' approaches using either natural divergent evolution or computational predictions based on chemical principles have been less successful. This review summarizes recent progress in evolution-based and computation-based (re)design.
authors.affiliation: Departments of Biochemistry and Chemistry, University of Illinois, Urbana, 61801, United States. j-gerlt@uiuc.edu
authors.forename: John A
authors.initials: JA
authors.lastname: Gerlt
authors.forename: Patricia C
authors.initials: PC
authors.lastname: Babbitt
mesh_terms: D019295:Computational Biology / Q000379:methods* / Q000639:trends; D004798:Enzymes / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism; D019143:Evolution, Molecular; D015202:Protein Engineering / Q000379:methods* / Q000639:trends
chemical_list: D004798:Enzymes