Screening and identification of the mimic epitope of the adhesion protein of<i>Mycoplasma genitalium</i>
Bibliographic record
Abstract
Mycoplasma genitalium adhesion protein (MgPa) is the major adhesion protein of M. genitalium, and its C-terminal domain (amino acid 1075-1444) is the most immunogenic region. However, the exact epitopes of the adhesion protein of M. genitalium are still unclear. We used the purified polyclonal antibody against the recombinant adhesion protein to screen the mimic epitopes of MgPa using a random 12-peptide phage display library. Immunoscreening via the phage display peptide library revealed that 3 motifs (P-S-A-A/V-X-R-F/W-E/S-L-S-P, A-K-I/L-T/Q-X-T-L-X-L, and K-S-L-S-R-X-D-X-I) may represent 3 different mimotopes of MgPa. Results of bioinformatics analysis by MIMOX demonstrated that the key consensus amino acid residues in the aligned mimotopes may be S, A, and F for cluster 1; A, K, I, T, and L for cluster 2; and K, S, L, R, D, and I for cluster 3. Three representative phages could recognize sera from M. genitalium-positive patients to varying degrees, whereas they could not recognize the sera from Mycoplasma pneumoniae -positive patients or the sera from healthy people. These findings will help to clarify the mimic epitopes of MgPa to facilitate diagnosis of the antigen and to understand the antigenic structure of MgPa.
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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".