Large‐scale survey for potentially targetable indels in bacterial and protozoan proteins
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Our previous results demonstrated that some essential, housekeeping proteins from pathogenic microorganisms may contain sizable insertions-deletions in their sequences (compared to close human homologs) that can be responsible for unexpected virulence properties. For example, we found that indel-bearing elongation factor-1alpha from several pathogenic protozoa can activate a human tyrosine phosphatase SHP-1 leading to deactivation of macrophages. On the one hand, these findings allowed development of a strategy for targeting some indel-containing pathogen proteins that have similar human counterparts. On the other hand, the results raised numerous questions regarding the nature and implications of sequence indels in pathogen proteins. In the present study, we conducted a large-scale survey of indels in proteins from 136 bacterial and protozoan genomes. It has been established that sizable insertions and deletions occur in approximately 5-10% of bacterial proteins with close human homologs, while proteins from the protozoan pathogens such as Trypanosoma cruzi, Plasmodium falciparum, and Leishmania donovani exhibit elevated indel content that can reach up to 25%. The finding suggested that the occurrence of sequence indels may be involved in the evolution of pathogenic mechanisms in these protozoa.
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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 it