Crystal Structures of the Human RNA Demethylase Alkbh5 Reveal Basis for Substrate Recognition
Bibliographic record
Abstract
N(6)-Methylation of adenosine is the most ubiquitous and abundant modification of nucleoside in eukaryotic mRNA and long non-coding RNA. This modification plays an essential role in the regulation of mRNA translation and RNA metabolism. Recently, human AlkB homolog 5 (Alkbh5) and fat mass- and obesity-associated protein (FTO) were shown to erase this methyl modification on mRNA. Here, we report five high resolution crystal structures of the catalytic core of Alkbh5 in complex with different ligands. Compared with other AlkB proteins, Alkbh5 displays several unique structural features on top of the conserved double-stranded β-helix fold typical of this protein family. Among the unique features, a distinct "lid" region of Alkbh5 plays a vital role in substrate recognition and catalysis. An unexpected disulfide bond between Cys-230 and Cys-267 is crucial for the selective binding of Alkbh5 to single-stranded RNA/DNA by bringing a "flipping" motif toward the central β-helix fold. We generated a substrate binding model of Alkbh5 based on a demethylation activity assay of several structure-guided site-directed mutants. Crystallographic and biochemical studies using various analogs of α-ketoglutarate revealed that the active site cavity of Alkbh5 is much smaller than that of FTO and preferentially binds small molecule inhibitors. Taken together, our findings provide a structural basis for understanding the substrate recognition specificity of Alkbh5 and offer a foundation for selective drug design against AlkB members.
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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) | 0.001 | 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".