Computational Insights into Protein Aging: Spontaneous Deamidation of Glutamine
Bibliographic record
Abstract
Spontaneous deamidation of amino acids is a physiologically important process, particularly for protein aging and diseases. Despite its widespread occurrence, the mechanism of glutamine deamidation particularly within proteins remains poorly understood. We have used a multiscale computational approach to investigate glutamine deamidation in the tripeptide Glycine–Glutamine–Glycine (Gly–Gln–Gly) and γS-Crystallin protein. Specifically, both the 5- and 6-membered water-assisted deamidation pathways in the tripeptide have been elucidated and compared. Both are found to occur in three stages: iminol formation, cyclization, and deamination. The rate-limiting step in each mechanism is nucleophilic attack of the backbone iminol nitrogen, formed in the first stage, at the glutamine’s side-chain carbonyl carbon. For the 6- and 5-membered mechanisms, this occurs with a free energy cost of 136.4 and 179.5 kJ mol –1, respectively. Thus, overall, in the Gly–Gln–Gly tripeptide, the 6-membered pathway is preferred. Furthermore, the free energies for forming cyclic intermediates and products at selected Gln residues (based on experimentally reported % deamidation) in γS-Crystallin have been obtained. It is found that the 5-membered product complex is exergonic at −25.3 kJ mol –1, while the 6-membered product complex is calculated to be endergonic at 90.7 kJ mol –1 . Thus, the deamidation pathway in folded and constrained proteins may not exclusively follow the 6-membered route. Molecular dynamics (MD) simulations of γS-Crystallin indicate that deamidation is more likely to occur when two or more water molecules are in the proximity of the glutamine residue. Consequently, significant conformational changes are found to accompany Gln120 deamidation in γS-Crystallin. This in turn can influence water availability at the other Gln residues considered and hence potentially their deamidation. Collectively, these results provide comprehensive insights into spontaneous water-assisted deamidation of glutamine residues in peptides and into the role and impact of Gln deamidation in proteins.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".