Conformation-Dependent<sup>•</sup>OH/H<sub>2</sub>O<sub>2</sub>Hydrogen Abstraction Reaction Cycles of Gly and Ala Residues: A Comparative Theoretical Study
Bibliographic record
Abstract
To determine if (•)OH can initiate the unfolding of an amino acid residue, the elementary reaction coordinates of H abstraction by (•)OH different conformations (β(L), γ(L), γ(D), α(L), and α(D)) of Gly and Ala dimethyl amides were computed using first-principles quantum computations. The MPWKCIS1K/6-311++G(3df,2p)//BHandHLYP/6-311+G(d,p) level of theory was selected after different combinations of functionals and basis sets were compared. The structures of Gly and Ala in the elementary reaction steps were compared to the conformers of the Gly, Gly(•), Ala, and Ala(•) structures in the absence of (•)OH/H(2)O, which were identified by optimizing the minima of the respective potential energy surfaces. A dramatic change in conformation is observed in the Gly and Ala conformers after conversion to Gly(•) and Ala(•), respectively, and this change can be monitored along the minimal energy pathway. The β(L) conformer of Gly (-0.3 kJ mol(-1)) and Ala (-1.6 kJ mol(-1)) form the lowest-lying transition states in the reaction with (•)OH, whereas the side chain of Ala strongly destabilizes the α conformers compared to the γ conformers, which could cause the lower reactivity shown in Ala. This effect shown in Ala could affect the abstraction of hydrogen from Ala and the other chiral amino acid residues in the helices. The energy of subsequent hydrogen abstraction reactions between Ala(•) and Gly(•) and H(2)O(2) remains approximately 90 kJ mol(-1) below the entrance level of the (•)OH reaction, indicating that the (•)OH radical can initiate an α to β transition in an amino acid residue if a molecule such as H(2)O(2) can provide the hydrogen atom necessary to re-form Gly and Ala. This work delineates the mechanism of the rapid (•)OH-initiated unfolding of peptides and proteins which has been proposed in Alzheimer's and other peptide misfolding diseases involving amyloidogenic peptides.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".