The Kinase Activation Loop Is the Key to Mixed Lineage Kinase-3 Activation via Both Autophosphorylation and Hematopoetic Progenitor Kinase 1 Phosphorylation
Bibliographic record
Abstract
We have demonstrated previously that Cdc42 induced MLK-3 homodimerization leads to both autophosphorylation and activation of MLK-3 and postulated that autophosphorylation is an intermediate step of MLK-3 activation following its dimerization. In this report we sought to refine further the mechanism of MLK-3 activation and study the role of the putative kinase activation loop in MLK-3 activation. First we mutated the three potential phosphorylation sites in MLK-3 putative activation loop to alanine in an effort to abrogate MLK-3 autophosphorylation. Mutant T277A displayed almost no autophosphorylation activity and was nearly nonfunctional; mutant S281A, that displayed a low level of autophosphorylation, only slightly activated its downstream targets, whereas the T278A mutant, that exhibited autophosphorylation comparable to that of the wild type, was almost fully functional. Thus, these residues within the activation loop are critical for MLK-3 autophosphorylation and activation. In addition, when the Thr277 and Ser281 residues were mutated to negatively charged glutamic acid to mimic phosphorylated serine/threonine residues, the resulting mutants were fully functional, implying that these two residues may serve as the autophosphorylation sites. Interestingly, HPK1 also phosphorylated MLK-3 activation loop in vitro, and Ser281 was found to be the major phosphorylation site, indicating that HPK1 also activates MLK-3 via phosphorylation of the kinase activation loop.
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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 | 0.001 |
| 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) | 0.000 | 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".