The Molecular Basis for the pH-activation Mechanism in the Channel-forming Bacterial Colicin E1
Bibliographic record
Abstract
The in vitro activity of the channel-forming bacteriocins such as colicin E1 in model membranes requires the specific activation of the protein by an acidic environment in the presence of a membrane potential. Acid activation of the C-terminal domain results in the formation of an insertion-competent intermediate with an enhanced ability to penetrate and perforate cell membranes. We report novel findings of this activation process through the design and study of mutant proteins involving the replacement of conserved Asp residues Asp-408, Asp-410, and Asp-423 within helices 5a and 4 in the colicin E1 channel domain that resulted in enhanced membrane binding, bilayer insertion rates, and ion channel activities at near neutral pH values. This activation process involves the destabilization of a critical salt bridge (Asp-410 and Lys-406) and H-bonds (Asp-408 and Ser-405 main chain; Asp-423 and Lys-420 main chain). The helix-to-coil transition of this motif was identified previously by time-resolved Trp fluorescence measurements (Merrill, A. R., Steer, B. A., Prentice, G. A., Weller, M. J., and Szabo, A. G. (1997) Biochemistry 36, 6874-6884), and here we use this approach to demonstrate that disruption of the helical structure of helices 4 and 5a results in a shift in this equilibrium to favor the coil state. Finally, we show that the essential components of the pH trigger motif are conserved among the channel-forming colicins and that it likely exists within other bacterial proteins and may even have evolved into more sophisticated devices in a number of microbial species.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".