Crystal Structure of Human ADP-ribose Transferase ARTD15/PARP16 Reveals a Novel Putative Regulatory Domain
Bibliographic record
Abstract
ADP-ribosylation is involved in the regulation of DNA repair, transcription, and other processes. The 18 human ADP-ribose transferases with diphtheria toxin homology include ARTD1/PARP1, a cancer drug target. Knowledge of other family members may guide therapeutics development and help evaluate potential drug side effects. Here, we present the crystal structure of human ARTD15/PARP16, a previously uncharacterized enzyme. ARTD15 features an α-helical domain that packs against its transferase domain without making direct contact with the NAD + -binding crevice or the donor loop. Thus, this novel domain does not resemble the regulatory domain of ARTD1. ARTD15 displays auto-mono(ADP-ribosylation) activity and is affected by canonical poly(ADP-ribose) polymerase inhibitors. These results add to a framework that will facilitate research on a medically important family of enzymes. Background: ADP-ribose transferases ARTD1–3/PARP1–3 have an α-helical domain that closes over the NAD + -binding site. Results: Human ARTD15/PARP16 is a mono(ADP-ribose) transferase with a novel α-helical domain that interacts with a catalytic domain loop. Conclusion: The ARTD15 transferase domain is likely regulated by effector binding to the adjacent helical domain. Significance: This provides a basis for understanding the enzymatic mechanism of this previously uncharacterized enzyme.
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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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".