Bibliographic record
Abstract
Several laboratories have now documented multiple physiological PTP1B substrates, from the initial hypothetical housekeeping function in cells to unique IR dephosphorylation. PTP1B appears to modulate a class of substrates that preferentially but not exclusively include tandem tyrosine-phosphorylated proteins. The substrate specificity of PTP1B can therefore be thought of as a combination of its catalytic domain structure and the potential contribution of its proline-rich domains to bind associated-proteins, as well as spatial and temporal regulation. It is intriguing that PTP1B controls signaling pathways downstream of two major regulators of metabolism (i.e., insulin and leptin). Yet, the PTP1B-deficient mice are well and thriving. One potential view could be that this enzyme is part of a core of signaling molecules that are responsible for sensing and responding to basic metabolic survival needs. A potential model could be that, in a stress period, an increase in expression (or activation) of PTP1B would be protective and contribute to survival. For example, it stands to reason that in a period of food deprivation, PTP1B activity would be extremely useful. By its action on the IR, animals decrease their glucose uptake and thus prevent hypoglycemia. Similarly, during starvation conditions, PTP1B action on leptin signaling would reinforce hunger and the need to seek food. These phenomena are reversed in the PTP1B-deficient mice. Together, they provide us with a glimpse of the complex signaling events that must be investigated in order to understand all the prospective benefits of PTP1B inhibitor therapies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.082 | 0.077 |
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".