Gaining Insight into the Catalytic Mechanism of the R132H IDH1 Mutant: A Synergistic DFT Cluster and Experimental Investigation
Bibliographic record
Abstract
Human isocitrate dehydrogenase 1 (IDH1) is an enzyme that is found in humans that plays a critical role in aerobic metabolism. As a part of the citric acid cycle, IDH1 becomes responsible for catalyzing the oxidative decarboxylation of isocitrate to form α-ketoglutarate (αKG), with nicotinamide adenine dinucleotide phosphate (NADP + ) as a cofactor. Strikingly, mutations of the IDH1 enzyme have been discovered in several cancers including glioblastoma multiforme (GBM), a highly aggressive form of brain cancer. It has been experimentally determined that single-residue IDH1 mutations occur at a very high frequency in GBM. Specifically, the IDH1 R132H mutation is known to produce (D)2-hydroxyglutarate (2HG), a recognized oncometabolite. Using the previously determined catalytic mechanism of IDH1, a DFT QM model was developed to study the mechanistic properties of IDH1 R132H compared to wild type enzyme. Validating these insights, biochemical in vitro assays of metabolites produced by mutant vs wild type enzymes were measured and compared. From the results discussed herein, we discuss the mechanistic impact of mutations in IDH1 on its ability to catalyze the formation of αKG and 2HG.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".