Crystallographic Structure of Human Dihydroorotate Dehydrogenase in Complex with the Natural Product Inhibitor Lapachol
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Dihydroorotate dehydrogenase (DHODH) is a key enzyme in the pyrimidine biosynthesis pathway, playing a critical role in cellular processes and offering therapeutic potential for antiviral, antineoplastic, and autoimmune treatments. Human DHODH ( Hs DHODH) utilizes ubiquinone as a second substrate, positioning its quinone-binding site as a promising target for inhibitor development. Lapachol, a natural naphthoquinone, has gained prominence as a valuable natural product for the discovery of novel therapeutic agents, thanks to its wide range of biological activities. In this study, we present the first crystal structure of Hs DHODH in complex with lapachol, providing valuable insights into the interactions between this natural product and the enzyme. The structure reveals key binding interactions that mediate lapachol’s affinity for Hs DHODH and validates previously proposed computational models. Complementary molecular dynamics simulations further highlight the stability of the complex and the importance of water-mediated interactions in ligand binding. These findings enhance our understanding of how naphthoquinone derivatives, such as lapachol, interact with class 2 DHODHs, offering a foundation for the design of optimized inhibitors for therapeutic applications. By integration of structural and computational data, this study contributes to the rational design of novel Hs DHODH inhibitors, paving the way for future exploration of lapachol and its derivatives in drug discovery.
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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".