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• Enzymatic activity and stereo-selectivity of three transaminases were studied. • Enzyme conformations were forced to change at different reaction conditions. • Conformations were studied by CD and HDX-MS at global and peptide levels. • Enzyme conformations were modeled in silico at different reaction conditions. • Experimentally obtained conformational trends compared with modeled in silico. The higher-order structure of a protein defines its function, and protein structural dynamics are often essential for protein binding and enzyme catalysis. Methods for protein characterization in solution are continuously being developed to understand and explore protein conformational changes with regards to function and activity. The goal of this study was to survey the use of combining HDX-MS global conformational screening with in silico modeling and continuous labeling peptide-level HDX-MS as an approach to highlight regions of interest within an enzyme required for biocatalytic processes. We surveyed in silico modeling correlated with peptide level HDX-MS experiments to characterize and localize transaminase enzyme structural dynamics at different conditions. This approach was orthogonally correlated with a global Size-Exclusion-HDX (SEC-HDX) screen for global conformational comparison and global alpha-helical content measurements by circular dichroism. Enzymatic activity and stereo-selectivity of transaminases were compared at different reaction-solution conditions that forced protein conformational changes by increasing acetonitrile concentration. The experimental peptide-level HDX-MS results demonstrated similar trends to the modeling data showing that certain regions remained folded in transaminases ATA-036 and ATA-303 with increasing acetonitrile concentration, which is also associated with shifting stereoselectivity. HDX modeling, SEC-HDX and CD experimental data showed that transaminase ATA-234 had the highest level of global unfolding with increasing acetonitrile concentration compared to the other two enzymes, which correlated with drastically reduced product conversion in transamination reaction. The combined HDX modeling/experimental workflow, based on enzymatic reactions studied at different conditions to induce changes in enzyme conformation, could be used as a tool to guide directed evolution efforts by identifying and focusing on the regions of an enzyme required for reaction product conversion and stereoselectivity. [ABSTRACT FROM AUTHOR]

• Novel analytical approach that is based on Raman spectroscopy (RS) and size exclusion chromatography-hydrogen-deuterium exchange-mass spectrometry (SEC-HDX-MS) has been developed. • This approach is highly sensitive to temperature-induced changes in ubiquitin and insulin. • RS coupled to SEC-HDX-MS allow for elucidation of sequential transformations in α-helix and β-sheet content of these proteins. • This approach is extremely powerful for a fast investigation of changes in protein or peptide secondary structures under different solution conditions. Protein-based drugs are a relatively new paradigm in modern therapeutics. These large molecule drugs often have much higher specificity and selectivity compared to small molecules that have been used in therapeutics for centuries. However, there are many analytical challenges associated with drug discovery and development of these new modalities. One of these analytical challenges concerns fast and robust assessment of peptides or small protein conformational structures in solution. In this study, we report a novel analytical approach that is based on Raman spectroscopy (RS) and size exclusion chromatography-hydrogen-deuterium exchange-mass spectrometry (SEC-HDX-MS) for probing conformational structures of proteins in solution. Specifically, we demonstrate that RS and SEC-HDX-MS can be used to probe temperature-induced changes in ubiquitin and insulin. We also show that a combination of these techniques provides a more comprehensive analysis and comparison of peptide or small protein conformational structures than by any one technique. Our results demonstrate that RS and SEC-HDX-MS allow for elucidation of sequential transformations in α-helix and β-sheet content of these proteins. These findings suggest that the proposed approach can be used for a fast investigation of changes in protein or peptide secondary structures under different solution conditions. [ABSTRACT FROM AUTHOR]

Peptides have gained an increasing importance in drug discovery as potential therapeutics. Discovery efforts toward finding new, efficacious peptide-based therapeutics have increased the throughput of peptide development, allowing the rapid generation of unique and pure peptide samples. However, high-throughput analysis of peptides may be still challenging and can encumber a high-throughput drug discovery campaign. We report herein a fit-for-purpose method to quantify peptide concentrations using high-throughput infrared spectroscopy (HT-IR). Through the development of this method, multiple critical method parameters were optimized including solvent composition, droplet deposition size, plate drying procedures, sample concentration, and internal standard. The relative absorbance of the amide region (1600–1750 cm-1) to the internal standard, K 3 Fe(CN) 6 (2140 cm-1), was determined to be most effective at providing lowest interference for measuring peptide concentration. The best sample deposition was achieved by dissolving samples in a 50:50 v/v allyl alcohol/water mixture. The developed method was used on 96-well plates and analyzed at a rate of 22 min per plate. Calibration curves to measure sample concentration versus response relationship displayed sufficient linearity (R2 > 0.95). The repeatability and scope of detection was demonstrated with eighteen peptide samples that were measured with most values below 20% relative standard deviation. The linear dynamic range of the method was determined to be between 1 and 5 mg/mL. This developed HT-IR methodology could be a useful tool in peptide drug candidate lead identification and optimization processes. [Display omitted] • Methodology was developed to quantify peptides using high-throughput IR reader. • Diverse set of model peptides were analyzed by HT-IR plate reader. • Multiple parameters were surveyed and optimized to develop this methodology. • Sample diluent compositions and internal standards were screened and established. • Method robustness and peptide recovery were optimized and verified. [ABSTRACT FROM AUTHOR]