Computational Methods for Modifying Enzyme Specificity: from Molding the Active Site to Allosteric Considerations

Enzymes keep life nicely humming along by catalyzing important reactions at relevant timescales. Despite their immediate importance, how enzymes recognize and bind their substrate in a sea of cytosolic small molecules, carry out the reaction, and release their product in microseconds is still relatively opaque. Methods to elucidate enzyme substrate specificity indicate that the shape of the active site and the amino acid residues therein play a major role. However, lessons from Directed Evolution experiments reveal the importance of residues far from the active site in modulating substrate specificity. Enzymes are dynamic macromolecules composed of networks of interactions integrating the active site, where the chemistry occurs, to the rest of the protein. The objective of this work is to develop computational methods to modify enzyme ligand specificity, either through molding the active site to accommodate a novel ligand, or by identifying distal mutations that can allosterically alter specificity. To this end, two homologues in the β-lactamase family of enzymes, TEM-1, and an ancestrally reconstructed variant, GNCA, were studied to identify whether the modulation of position-specific distal-residue flexibility could modify ligand specificity. RosettaDesign was used to create TEM-1 variants with altered dynamic patterns. Experimental characterization of ten designed proteins indicated that mutations to residues surrounding rigid, highly coupled residues substantially affected both enzymatic activity and stability. In contrast, native-like activities and stabilities were maintained when flexible, uncoupled residues, were targeted. Five of the TEM-1 variants were crystallized to see if the changes in function observed were due to architectural changes to the active site. In a second project, a computational platform using RosettaDesign was developed to remodel the firefly luciferase active site to accommodate novel luciferins. This platform resulted in the development of five luciferin-luciferase pairs with red-shifted emission maxima, ready for multicomponent bioluminescent imaging applications in tissues. Although the projects from this work focus on two classes of proteins, they provide insight into the structure-function relationship of ligand specificity in enzymes and are broadly applicable to other systems.