Identification and Characterization of Three Members of the Human Metallocarboxypeptidase Gene Family
Bibliographic record
Abstract
Amino acid homology searches of the human genome revealed three members of the metallocarboxypeptidase (metallo-CP) family that had not been described in the literature in addition to the 14 known genes. One of these three, named CPA5, is present in a gene cluster with CPA1, CPA2, and CPA4 on chromosome 7. The cDNA encoding a mouse homolog of human CPA5 was isolated from a testis library and sequenced. The deduced amino acid sequence of human CPA5 has highest amino acid sequence identity (60%) to CPA1. Modeling analysis shows the overall structure to be very similar to that of other members of the A/B subfamily of metallocarboxypeptidases. The active site of CPA5 is predicted to cleave substrates with C-terminal hydrophobic residues, as do CPA1, -2, and -3. Using Northern blot analysis, CPA5 mRNA is detected in testis but not in kidney, liver, brain, or lung. In situ hybridization analysis shows that CPA5 is localized to testis germ cells. Mouse pro-CPA5 protein expressed in Sf9 cells using the baculovirus system was retained in the particulate fraction of the cells and was not secreted into the media. Pro-CPA5 was not enzymatically active toward standard CPA substrates, but after incubation with prohormone convertase 4 the resulting protein was able to cleave furylacryloyl-Gly-Leu, with 3-4-fold greater activity at pH 7.4 than at 5.6. Two additional members of the human CP gene family were also studied. Modeling analysis indicates that both contain the necessary amino acids required for enzymatic activity. The CP on chromosome 8 is predicted to have a CPA-like specificity for C-terminal hydrophobic residues and was named CPA6. The CP on chromosome 2 is predicted to cleave substrates with C-terminal acidic residues and was named CPO.
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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) | 0.000 | 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) | 0.001 | 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 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".