Reactivity of Fish and Microbial Transglutaminases on Glutaminyl Sites of Peptides Derived from Threadfin Bream Myosin
Bibliographic record
Abstract
Fish liver transglutaminase (FTG), a Ca(2+)-dependent enzyme, exhibits different characteristics from the Ca(2+)-independent microbial transglutaminase (MTG), leading to potential differences in their substrate specificity and reactivity. The ability of these enzymes to catalyze isopeptide bond formation by incorporating 5-(biotinamido)pentylamine (BPNH2) into peptides derived by tryptic digestion of threadfin bream (TB)-myosin was investigated to identify reaction sites and substrate specificity using a peptidomic strategy. BPNH2 was incorporated into TB-myosin peptides to a greater extent by MTG than FTG. Peptides derived from TB-myosin heavy chain (MHC) shared highest similarity to amberjack-MHC on the basis of a Mascot database search. Amino acid sequences and modification sites of BPNH2-tagged peptides were identified by tandem mass spectrometry based on the amberjack-MHC sequence. The BPNH2 modification sites catalyzed by both TGases were at the myosin rod. Most of the BPNH2 peptides contained charged amino acids (E, R, K) at the glutaminylamide site of reactive glutamine (Q*). The alpha-acrylamide site of Q* contained E, F, or L on peptides catalyzed by both enzymes, I, Q, or A on peptides catalyzed only by FTG, and V on a peptide catalyzed only by MTG. These results demonstrate the different structural requirements for glutaminyl substrates between these two enzymes.
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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 | 0.000 | 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) | 0.000 | 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".