OICR-41103 as a chemical probe for the DCAF1 WD40 domain
Bibliographic record
Abstract
Human DCAF1 is a multidomain protein that plays a critical role in protein homeostasis. Its WDR domain functions as a substrate recruitment module for RING-type CRL4 and HECT family EDVP E3 ubiquitin ligases, enabling the ubiquitination and proteasomal degradation of specific substrates. DCAF1's activity has been implicated in cell proliferation and is documented to promote tumorigenesis. Additionally, the DCAF1 WDR domain is hijacked by lentiviral accessory proteins to induce the degradation of host antiviral factors, such as SAMHD1 and UNG2. These diverse roles make DCAF1 an attractive target for therapeutic development in oncology and antiviral strategies. It is also a promising candidate for use in targeted protein degradation. We previously reported a novel ligand, OICR-8268, that targets the DCAF1 WDR domain. In this study, we present the development of OICR-41103, a potent, selective, and cell-active small molecule chemical probe for DCAF1, derived from OICR-8268. The co-crystal structure of the DCAF1-OICR-41103 complex reveals the ligand's binding mode within the WDR central pocket, demonstrating its potential for PROTAC design and development. Notably, OICR-41103 effectively displaces the lentiviral Vpr protein from DCAF1 in both biochemical and cellular settings, highlighting its potential for the development of HIV therapeutics.
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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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".