Structure-function analysis of DEAD-box helicase DDX43
Bibliographic record
Abstract
DDX43 (DEAD-box helicase 43), also known as HAGE (helicase antigen gene), is a member of the DEAD-box protein family. It contains a K homology (KH) domain in its N terminus, a helicase core domain in its C terminus, and a flexible linker domain in between. DDX43 expression is low or undetectable in normal tissue, but is overexpressed in many tumors; therefore, it is considered a potential target molecule for cancer therapy. We, along with other groups, have shown that DDX43 is an ATP-dependent RNA and DNA helicase, and the KH domain is required for its ATPase and unwinding activity. Electrophoretic mobility shift assay (EMSA), SELEX (systematic evolution of ligands by exponential enrichment), chromatin immunoprecipitation (ChIP)-seq, crosslinking immunoprecipitation (CLIP)-seq, and nuclear magnetic resonance (NMR) showed that the KH domain prefers to bind pyrimidine-rich ssDNA and ssRNA, such as TTGT in the promoter regions of genes. Moreover, the KH domain facilitates the substrate specificity and processivity of the DDX43 helicase. No animal model has been generated for DDX43; cellular studies have revealed that DDX43 has roles in piRNA amplification, tumorigenesis, RAS signaling, and innate immunity. Structural and functional studies of DDX43 will not only advance our understanding of DEAD-box helicases and KH domains, but also shed light on the application of DDX43 as therapeutics, where its key binding sites can be targeted by small molecules and natural products as an alternative approach in treating DDX43 overexpressed cancers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".