Recent Advances in the Scaffold Engineering of Protein Binders

In recent years, extensive attention has been given to the generation of new classes of ligand- specific binding proteins to supplement monoclonal antibodies. A combination of protein engineering and display technologies has been used to manipulate non-human antibodies for humanization and stabilization purposes or even the generation of new binding proteins. Engineered protein scaffolds can now be directed against therapeutic targets to treat cancer and immunological disorders. Although very few of these scaffolds have successfully passed clinical trials, their remarkable properties such as robust folding, high solubility, and small size motivate their employment as a tool for biology and applied science studies. Here, we have focused on the generation of new non-Ig binding proteins and single domain antibody manipulation, with a glimpse of their applications.

Beyond Antibodies as Binding Partners: The Role of Antibody Mimetics in Bioanalysis

The emergence of novel binding proteins or antibody mimetics capable of binding to ligand analytes in a manner analogous to that of the antigen-antibody interaction has spurred increased interest in the biotechnology and bioanalytical communities. The goal is to produce antibody mimetics designed to outperform antibodies with regard to binding affinities, cellular and tumor penetration, large-scale production, and temperature and pH stability. The generation of antibody mimetics with tailored characteristics involves the identification of a naturally occurring protein scaffold as a template that binds to a desired ligand. This scaffold is then engineered to create a superior binder by first creating a library that is then subjected to a series of selection steps. Antibody mimetics have been successfully used in the development of binding assays for the detection of analytes in biological samples, as well as in separation methods, cancer therapy, targeted drug delivery, and in vivo imaging. This review describes recent advances in the field of antibody mimetics and their applications in bioanalytical chemistry, specifically in diagnostics and other analytical methods.

A reference dataset for circular dichroism spectroscopy tailored for the βγ-crystallin lens proteins

Circular dichroism (CD) spectroscopy is a powerful solution technique for the study of protein secondary structure. As hierarchical euclidean clustering analyses of high quality crystallin synchrotron radiation circular dichroism (SRCD) spectral data can be separated into structural groups based solely on spectral information, the technique can potentially be improved to more accurately determine secondary structures and monitor conformational changes in crystallins. Secondary structure estimates can be determined through use of reference datasets of circular dichroism spectra from proteins with determined crystal structures. As with any empirical method, the accuracies of the analyses are dependent upon how closely the reference dataset characteristics match those of the protein to be studied. To date, crystallin proteins have not been well analysed by CD because existing reference datasets do not contain good representations of their structural characteristics. This work describes a betagamma-crystallin specific reference dataset, CRYST175, which was created solely for the study of betagamma-crystallin secondary structures. Prediction accuracy was assessed for the new dataset using several deconvolution algorithms and it was found to substantially outperform existing more general reference datasets.