A 2.13 Å Structure of <i>E. coli</i> Dihydrofolate Reductase Bound to a Novel Competitive Inhibitor Reveals a New Binding Surface Involving the M20 Loop Region
Bibliographic record
Abstract
Dihydrofolate reductase (DHFR) is a vital metabolic enzyme and thus a clinically prominent target in the design of antimetabolites. In this work, we identify 1,4-bis-{[N-(1-imino-1-guanidino-methyl)]sulfanylmethyl}-3,6-dimethyl-benzene (compound 1) as the correct structure of the previously reported DHFR inhibitor 1,4-bis-{(iminothioureidomethyl)aminomethyl}-3,6-dimethyl-benzene (compound 2). The fact that compound 1 has an uncharacteristic structure for DHFR inhibitors, and an affinity (KI of 11.5 nM) comparable to potent inhibitors such as methotrexate and trimethoprim, made this inhibitor of interest for further analysis. We have conducted a characterization of the primary interactions of compound 1 and DHFR using a combination of X-ray structure and SAR analysis. The crystal structure of E. coli DHFR in complex with compound 1 and NADPH reveals that one portion of this inhibitor exploits a unique binding surface, the M20 loop. The importance of this interface was further confirmed by SAR analysis and additional structural characterization.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".