A Structure-Based Design Protocol for Optimizing Combinatorial Protein Libraries.
Protein variant libraries created via site-directed mutagenesis are a powerful approach to engineer improved proteins for numerous applications such as altering enzyme substrate specificity. Conventional libraries commonly use a brute force approach: saturation mutagenesis via degenerate codons that encode all 20 natural amino acids. In contrast, this chapter describes a protocol for designing "smarter" degenerate codon libraries via direct combinatorial optimization in "library space." Several case studies illustrate how it is possible to design degenerate codon libraries that are highly enriched for favorable, low-energy sequences as assessed using a standard all-atom scoring function. There is much to gain for experimental protein engineering laboratories willing to think beyond site saturation mutagenesis. In the common case that the exact experimental screening budget is not fixed, it is particularly helpful to perform a Pareto analysis to inspect favorable libraries at a range of possible library sizes.
Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, 80523, USA.
Mark W
MW
Lunt
Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, 80523, USA. Christopher.Snow@colostate.edu.
Christopher D
CD
Snow
D020650:Combinatorial Chemistry Techniques; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*
D011506:Proteins
Cluster expansion; Degenerate codon optimization; Protein library design; Rational mutagenesis; Regression; Saturation mutagenesis