Computing the Differences
between Asn‑X and
Gln‑X Deamidation and Their Impact on Pharmaceutical and Physiological
Proteins: A Theoretical Investigation Using Model Dipeptides
posted on 2022-12-22, 22:43authored byKatherine
E. Lawson, Megan N. Evans, Joseph K. Dekle, Andrew J. Adamczyk
Protein deamidation is a degradation mechanism that significantly
impacts both pharmaceutical and physiological proteins. Deamidation
impacts two amino acids, Asn and Gln, where the net neutral residues
are converted into their acidic forms. While there are multiple similarities
between the reaction mechanisms of the two residues, the impact of
Gln deamidation has been noted to be most significant on physiological
proteins while Asn deamidation has been linked to both pharmaceutical
and physiological proteins. For this purpose, we sought to analyze
the thermochemical and kinetic properties of the different reactions
of Gln deamidation relative to Asn deamidation. In this study, we
mapped the deamidation of Gln-X dipeptides into Glu-X dipeptides using
density functional theory (DFT). Full network mapping facilitated
the prediction of reaction selectivity between the two primary pathways,
as well as between the two products of Gln-X deamidation as a function
of solvent dielectric. To achieve this analysis, we studied a total
of 77 dipeptide reactions per solvent dielectric (308 total reactions).
Modeled at a neutral pH and using quantum chemical and statistical
thermodynamic methods, we computed the following values: enthalpy
of reaction (ΔHRXN), entropy (ΔSRXN), Gibbs free energy of reaction (ΔGRXN), activation energy (EA), and the Arrhenius preexponential factor (log(A)) for each
dipeptide. Additionally, using chemical reaction principles, we generated
a database of computed rate coefficients for all possible N-terminus
Gln-X deamidation reactions at a neutral pH, predicted the most likely
deamidation reaction mechanism for each dipeptide reaction, analyzed
our results against our prior study on Asn-X deamidation, and matched
our results against qualitative trends previously noted by experimental
literature.