Structure-function analysis of RNA editing ligases and their interacting protein partners in the editosome complex of «Trypanosoma brucei»
Bibliographic record
Abstract
Trypanosoma brucei is a parasite that causes the vector-borne disease African sleeping sickness. The mitochondrial mRNAs of T. brucei undergo post-transcriptional RNA editing to make mature, functional mRNAs. The final step of this process is catalyzed by the essential ligase, Kinetoplastid RNA Editing Ligase 1(KREL1) and closely related KREL2. This study is an in vitro characterization of interaction of KREL1 and KREL2 with binding partners KREPA2 and KREPA1, respectively, using full-length, truncated and point-mutated ligases. We have shown a strong, specific stimulatory effect of the interacting partners on catalytic activity of the ligases. We have narrowed the region of contact to fifty-nine C-terminal residues for KREL1 and forty-five for KREL2. Finally we have identified the N-terminal residues F206, T264 and Y275 and C-terminal K405 on KREL1 as critical for catalytic activity as well as interaction with KREPA2. K424 and the KWKE (441-444) stretch possibly co-ordinate KREPA2 interaction during adenylylation.
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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 | 0.000 |
| 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".