Thermodynamic Role of Glutathione Oxidation by Peroxide and Peroxybicarbonate in the Prevention of Alzheimer’s Disease and Cancer
Bibliographic record
Abstract
First principle quantum molecular computations have been carried out at the B3LYP/6-31G(d,p) and G3MP2B3 levels of theory on ethyl mercaptan and diethyl disulfide to study their full conformational space. The consequences of molecular axis chirality for the potential energy hypersurface of diethyl disulfide was fully explored. Thermodynamic functions (U, H, S, and G) have been computed for every conformer of the products as well as the reactants of the redox systems studied. Relative values of the thermodynamic functions were calculated with respect to the reference structures with anti orientation. The energetics of the following Red-Ox reactions Et-SH+HO-OH+HS-Et --> 2H2O+Et-S-S-Et Et-SH+HO-OCOO(-)+HS-Et --> H2O+Et-S-S-Et+HCO3- have been chosen to mimic the biologically important Red-Ox reactions of glutathione G-SH+H2O2+HS-G --> 2H2O+G-S-S-G G-SH+HCO4-+HS-G --> H2O+G-S-S-G+HCO3-. The Red-Ox reaction of Et-SH --> Et-S-S-Et was found to be exothermic by first principle molecular computations and the intramolecular interactions, such as the unusual C-H...H-C noncovalent bondings were studied by Bader's atoms in molecules analysis of the electron density topology. The present paper focuses attention on the thermodynamic aspect of the redox reaction of glutathione. It has been noted previously that on going from a cancerous to a healthy cell, the entropy change is negative, corresponding to information accumulation. Likewise, the dissociation of peptide parallel beta-sheets, that dominate the plaques in Alzheimer's Disease, governs negative entropy change. It may be interesting to note, according to the results obtained in the present paper, a negative entropy change, corresponding to information accumulation.
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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) | 0.000 | 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 | 0.000 |
| 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".