Turning pyridoxal-5'-phosphate-dependent enzymes into thermostable binding proteins: D-Serine dehydratase from baker's yeast as a case study

Rapid characterization of structure-dependency gas-phase ion/ion reaction via accumulative tandem MS

To enable the rapid detection of biomolecule reactivity and reaction sites, we developed a method based on gas-phase ion/ion reaction and accumulative tandem mass spectrometry (MS). Structure-dependency reactions in gas-phase were performed between biomolecule ions and their reaction partner ions with opposite polarities in a quadrupole ion trap. Gas-phase peptide bioconjugation with pyridoxal-5-phosphate (PLP) was chosen as a proof-of-principle example. It is found that the Coulomb attraction force holds reaction partners close together, which increasing the reaction probability. Post reaction, reaction sites were identified by the consequent accumulative tandem MS method, in which informative product ions in low abundance were enriched by more than 100 times in another quadrupole ion trap. With enough product ions, tandem MS was performed, and reaction sites could be identified unambiguously. Since those reactions are normally biomolecular structure dependent, density functional theory (DFT) calculations were also carried out to understand the reaction mechanism. The method allows for rapid characterization of structure dependent reactivity of a biomolecule, and opens a new avenue for drug development and biomolecule structure analyses.

Simultaneous Fitting of Absorption Spectra and Their Second Derivatives for an Improved Analysis of Protein Infrared Spectra

Infrared spectroscopy is a powerful tool in protein science due to its sensitivity to changes in secondary structure or conformation. In order to take advantage of the full power of infrared spectroscopy in structural studies of proteins, complex band contours, such as the amide I band, have to be decomposed into their main component bands, a process referred to as curve fitting. In this paper, we report on an improved curve fitting approach in which absorption spectra and second derivative spectra are fitted simultaneously. Our approach, which we name co-fitting, leads to a more reliable modelling of the experimental data because it uses more spectral information than the standard approach of fitting only the absorption spectrum. It also avoids that the fitting routine becomes trapped in local minima. We have tested the proposed approach using infrared absorption spectra of three mixed α/β proteins with different degrees of spectral overlap in the amide I region: ribonuclease A, pyruvate kinase, and aconitase.