Converting NAD-Specific Inositol Dehydrogenase to an Efficient NADP-Selective Catalyst, with a Surprising Twist
Bibliographic record
Abstract
myo-Inositol dehydrogenase (IDH, EC 1.1.1.18) from Bacillus subtilis converts myo-inositol to scyllo-inosose and is strictly dependent on NAD for activity. We sought to alter the coenzyme specificity to generate an NADP-dependent enzyme in order to enhance our understanding of coenzyme selectivity and to create an enzyme capable of recycling NADP in biocatalytic processes. Examination of available structural information related to the GFO/MocA/IDH family of dehydrogenases and precedents for altering coenzyme selectivity allowed us to select residues for substitution, and nine single, double, and triple mutants were constructed. Mutagenesis experiments with B. subtilis IDH proved extremely successful; the double mutant D35S/V36R preferred NADP to NAD by a factor of 5. This mutant is an excellent catalyst with a second-order rate constant with respect to NADP of 370 000 s⁻¹ M⁻¹, and the triple mutant A12K/D35S/V36R had a value of 570 000 s⁻¹ M⁻¹, higher than that of the wild-type IDH with NAD. The high-resolution X-ray crystal structure of the double mutant A12K/D35S was solved in complex with NADP. Surprisingly, the binding of the coenzyme is altered such that although the nicotinamide ring maintains the required position for catalysis, the coenzyme has twisted by nearly 90°, so the adenine moiety no longer binds to a hydrophobic cleft in the Rossmann fold as in the wild-type enzyme. This change in binding conformation has not previously been observed in mutated dehydrogenases.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| 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 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".