Crystal Structure of the Werner’s Syndrome Helicase
Bibliographic record
Abstract
Abstract Werner syndrome helicase (WRN) plays important roles in multiple pathways of DNA repair and the maintenance of genome integrity. Recently, loss of WRN was identified as a strong synthetic lethal interaction for microsatellite instable (MSI) cancers making WRN a promising drug target. Yet, structural information for the helicase domain is lacking, which prevents structure-based design of drug molecules. In this study, we show that ATP binding and hydrolysis in the helicase domain are required for genome integrity and viability of MSI cancer cells. We then determined the crystal structure of an ADP bound form of the WRN helicase core at 2.2 Å resolution. The structure features an atypical mode of nucleotide binding with extensive contacts formed by motif VI, which in turn defines the relative positioning of the two RecA like domains. The structure features a novel additional β-hairpin in the second RecA and an unusual helical hairpin in the Zn2+ binding domain, and modelling DNA substrates based on existing RecQ DNA complexes suggests roles for these features in the binding of alternative DNA structures. We have further analysed possible interfaces formed from the interactions between the HRDC domain and the helicase core by NMR. Together, this study will facilitate the structure-based design of inhibitors against WRN helicase.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".