Bacterial Effector Kinases
Bibliographic record
Abstract
Protein phosphorylation is one of the main signaling mechanisms in eukaryotic cells. Not surprisingly, pathogenic adopted this mechanism to interfere with signaling processes in the host cell. To this end pathogens evolved kinases that, in addition to other bacterial effector proteins, are injected into the host cell via a syringe-like type 3 (T3SS) or type 4 (T4SS) secretion systems. Kinases NleH1 and NleH2 from pathogenic E. coli, OspG from Shigella, SteC and SboH from Salmonella, LegK1-4 from Legionella and YspK and YpkA from Yersinia represent currently known effector kinases. Some of these kinases were likely derived from eukaryotes via horizontal gene transfer (SteC, LegK1-4, YpkA). Other kinases (NleH, OspG, SboH and YspK) have been so far identified only in the pathogenic bacteria. The structures of NleH and OspG proved that these kinases, which are half the size of an average human kinase, contain only a core kinase fold. These kinases lack the main regulatory element – the activation loop. The structure of NleH suggests that it has no activation mechanism since the apo-kinase domain adopts an active conformation and no change is observed on nucleotide binding. The OspG kinase, which also contains only the core kinase fold, is stimulated by its binding partner, the ubiquitin-conjugating enzyme E2-ubiquitin complex. The structure of OspG:UbcH7-Ub complex shows that OspG binds the E2 and ubiquitin (Ub) at two distinct sites on its surface. In this complex the OspG active site is unobstructed and primed for catalysis. However the mechanism of OspG activation remains presently unknown. Both NleH and OspG were found to inhibit the NF-kB pathway, however the substrates forOspG and NleH kinase activities are not yet known.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.036 |
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".