Conformational Analysis of Arabinofuranosides: Prediction of <sup>3</sup><i>J</i><sub>H,H</sub> Using MD Simulations with DFT-Derived Spin−Spin Coupling Profiles
Bibliographic record
Abstract
A molecular dynamics (MD) investigation on a series of oligo-α-arabinofuranosides (1-8) using the AMBER force field and the GLYCAM carbohydrate parameter set is reported. The validation of the method was carried out by direct comparison of experimental vicinal proton-proton coupling constants ((3)JH,H) with those obtained by using an empirically determined Karplus equation and density functional theory (DFT)-derived relationships specifically tailored for α-arabinofuranosyl systems. A simple code was developed to implement the determination of (3)JH,H by applying these relationships to the probability distributions of rotamers and ring conformations displayed by the simulations. The empirical Karplus relationship and the DFT-derived equations yielded, in most cases, the same trend as experiment for intra-ring (3)JH,H values. This direct comparison circumvents additional sources of errors that may arise from the assumptions introduced by the deconvolution procedures often used to calculate population of rotamers and ring conformations from experimental (3)JH,H.
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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".