Prediction of the molecular boundary and functionality of novel viral AlkB domains using homology modelling and principal component analysis
Bibliographic record
Abstract
Alkylation B (AlkB) proteins are ubiquitous among diverse cellular organisms, where they act to reverse the damage in DNA and RNA due to methylation, such as 1-methyladenine and 3-methylcytosine. This process is found in virtually all forms of life, with the notable exception of archaea and yeast. This protein family is so significant to all forms of life that it was recently discovered that an AlkB domain is encoded as part of the replicase (poly)protein in a small subset of single-stranded, positive-sense RNA viruses, mainly belonging to the families Alphaflexiviridae, Betaflexiviridae and Closteroviridae. Interestingly, these AlkB-containing viruses are mostly important pathogens of woody perennials such as fruit crops, and are responsible for significant economic losses. As a newly identified protein domain in RNA viruses, the origin and molecular boundary of the viral AlkB domain, as well as its function in viral replication, virus-host interactions and infection are unknown. This is due to the limited sequence conservation of viral AlkB domains, especially at the N-terminal region corresponding to the nucleotide recognition lid. Here we apply several independent analytical approaches (homology modelling, principal component analysis and the Shannon diversity index) for the first time, to better understand this viral domain. We conclude that a functional AlkB domain in these viruses comprises approximately 150-170 amino acids. Although the exact function of the viral AlkB domain remains unknown, we hypothesize that it counteracts a host defence mechanism that is unique in these perennial plants and was acquired to enhance the long-term survival of these RNA viruses that infect perennial plants. Interestingly, a majority of these viruses have a tissue tropism for the phloem. Furthermore, we identified several additional amino acid residues that are uniquely conserved among viral AlkBs. This work helps to provide a foundation for further investigation of the function of viral AlkBs and critical residues involved in AlkB function.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".