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Updated: May 30, 2026

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
Published on: July 3, 2016
The Class D beta-lactamase family: residues governing the maintenance and diversity of function
Agnieszka Szarecka1, Kimberly R Lesnock, Carlos A Ramirez-Mondragon
1Department of Cell and Molecular Biology, Grand Valley State University, Henry Hall, 1 Campus Drive, Allendale, MI 49401, USA.
Abstract:
Class D β-lactamases, a major source of bacterial resistance to β-lactam antibiotic therapies, represent a distinct subset of the β-lactamase superfamily. They share a serine hydrolase mechanism with Classes A/C vs. Class B. Further understanding of their sequence-structure-function relationships would benefit efforts to design a new generation of antibiotics as well as to predict evolutionary mechanisms in response to such therapies. Here we describe analyses based on our high-resolution multiple sequence alignment and phylogenetic tree of ∼80 Class D β-lactamases that leverage several 3D structures of these enzymes. We observe several sequence clusters on the phylogenetic tree, some that are species specific while others include several species from α-, β- and γ-proteobacteria. Residues characteristic of a specific cluster were identified and shown to be located just outside the active site, possibly modulating the function of the catalytic residues to facilitate reactions with specific types of β-lactams. Most significant was the discovery of a likely disulfide bond in a large group composed of α-, β- and γ-proteobacteria that would contribute to enzyme stability and hence bacterial viability under antibiotic assault. A network of co-evolving residues was identified which suggested the importance of maintaining a surface for binding a highly conserved Phe69.
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Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...

