Residues Involved in the Mechanism of the Bifunctional Methylenetetrahydrofolate Dehydrogenase-Cyclohydrolase
Bibliographic record
Abstract
The human bifunctional dehydrogenase-cyclohydrolase domain catalyzes the interconversion of 5,10-methylene-H(4)folate and 10-formyl-H(4)folate. Although previous structure and mutagenesis studies indicated the importance of lysine 56 in cyclohydrolase catalysis, the role of several surrounding residues had not been explored. In addition to further defining the role of lysine 56, the work presented in this study explores the functions of glutamine 100 and aspartate 125 through the use of site-directed mutagenesis and chemical modification. Mutants at position 100 are inactive with respect to cyclohydrolase activity while preserving significant dehydrogenase levels. We succeeded in producing a K56Q/Q100K double mutant, which has no cyclohydrolase yet retains more than two-thirds of wild type dehydrogenase activity. Neither activity is detectable in aspartate 125 mutants with the exception of D125E. The results indicate that the function of glutamine 100 is to activate lysine 56 for cyclohydrolase catalysis and that aspartate 125 is involved in the binding of the H(4)folate substrates. In highlighting the importance of these residues, catalytic mechanisms are proposed for both activities as well as an explanation for the differences in channeling efficiency in the forward and reverse directions.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".