Linking Distinct Conformations of Nicotinamide Adenine Dinucleotide with Protein Fold/Function
Bibliographic record
Abstract
Nicotinamide adenine dinucleotide (NAD or NADP) are essential cofactor/substrate for enzymes that catalyze redox or nonredox reactions. Because several enzymes involved in NAD(P) metabolism have been implicated in a wide array of diseases, there is great interest in designing inhibitors/activators of these NAD(P)-dependent enzymes based on their structures. Hence, we have elucidated the various distinct enzyme-bound NAD(P) conformations and their correlation with the respective protein fold and function using hierarchical clustering methods. Torsion angles distinguishing enzyme-bound NAD versus NADP conformations and NAD(P) conformations bound to redox versus nonredox enzymes were identified. Although an unusually small χ(N) in diphtheria toxin-bound NAD(+) had been postulated to strain the N-glycosidic bond, thus facilitating catalysis, toxin-bound NAD(+) molecules with χ(N) varying from 0 to 60° were found to exhibit similar C(1D)-N(1N) bond cleavage barriers in water. The findings herein provide useful guidelines in the design of inhibitors/activators of NAD(P)-dependent enzymes that are therapeutic targets.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".