Proteolytic Degradation of Hemoglobin in the Intestine of the Human Hookworm<i>Necator americanus</i>
Bibliographic record
Abstract
Blood-feeding parasites use mechanistically distinct proteases to digest hemoglobin (Hb), often as multienzyme cooperative cascades. We investigated the roles played by 3 distinct proteases from adults of the human hookworm Necator americanus. The aspartic protease Na-APR-1 and the cysteine protease Na-CP-3 were expressed in catalytically active form in yeast, and the metalloprotease Na-MEP-1 was expressed in catalytically active form in baculovirus. Antibodies to all 3 proteases were used to immunolocalize each native enzyme to the intestine of adult N. americanus. Recombinant Na-APR-1 cleaved intact human Hb. In contrast, Na-CP-3 and Na-MEP-1 could not cleave Hb but instead cleaved globin fragments that had been hydrolyzed by Na-APR-1, implying an ordered process of hemoglobinolysis. Seventy-four cleavage sites within Hb alpha- and beta-chains were characterized after digestion with all 3 proteases. All of the proteases demonstrated promiscuous subsite specificities within Hb; noteworthy preferences included aromatic and hydrophobic P1 residues and hydrophobic P1' residues for Na-APR-1 and hydrophobic P1 residues for Na-MEP-1. We conclude that Hb digestion in N. americanus involves a network of distinct proteases, some of which act in an ordered fashion, providing a potential mechanism by which some of these hemoglobinases exert their efficacy as recombinant vaccines against hookworm infection.
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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) | 0.000 | 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 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".