Putative kallikrein substrates and their (patho)biological functions
Bibliographic record
Abstract
Human tissue kallikreins (KLKs) represent the largest contiguous group of protease genes within our genome. All 15 KLK genes co-localize within approximately 260 kb in human chromosome 19q13.3-13.4 (14 640 kb→274 990 kb). They are widely expressed in several tissues and mediate a wide range of critical physiological and pathological processes. Despite the recent developments in KLK research, elucidation of their physiological substrate repertoires remains a largely unfulfilled goal. Phage display, positional scanning and combinatorial peptide library screens have provided some valuable insights into the preferred specificities of these powerful enzymes. More recently, advances in proteomic technologies have enabled more systemic approaches towards identification of KLK substrates in a physiological setting. The advent of degradomic technologies has brought to light several putative physiological substrates and has allowed a deeper appreciation of the in vivo functional roles of KLKs. The aim of this review is to provide an overview of the different techniques that have been utilized towards the elucidation of the substrate specificities of these enzymes and elaborate on their emerging in vivo substrates.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".