Toward a broad‐spectrum peptide‐based inhibitor of small multidrug resistance efflux pumps
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
Abstract As an alternative approach to conventional antibiotics, here we explore a novel, rational drug design to target a resistance mechanism in antibiotic‐resistant bacteria—the small multidrug resistance (SMR) efflux pump. SMRs are a membrane protein that consist of four transmembrane (TM) helices, which homodimerize via TM4 in an anti‐parallel fashion through a GG7 motif. To target this interaction, we synthesized a series of peptides, typified by Ac‐A‐(Sar) 3 ‐II G MMLISA G VLI‐KKK‐NH 2 (Sar = N‐methyl‐glycine, GG7 underlined), with a sequence derived from Escherichia coli TM4, designed to bind to—and competitively disrupt—the TM4–TM4 interaction site. The peptides also contain an uncharged N‐terminal sarcosine (N‐methyl‐glycine) tag to promote membrane insertion, and a C‐terminal tri‐lysine tag to direct the peptides toward the negatively‐charged bacterial membrane. As we found that the GG7 dimerization motif was highly conserved across bacterial species, including a range of priority pathogens, the peptides were tested for interspecies inhibitory activity where we varied the SMR overexpressed in E. coli bacterium and the peptide. The peptides included the TM4 sequence of E. coli (EmrE), Pseudomonas aeruginosa (PAsmr), and Mycobacterium tuberculosis (Mmr). We performed a series of assays measuring the efflux rates of the fluorescent toxin ethidium bromide, finding that the PAsmr peptide was broadly active against all SMRs expressed in E. coli . Interestingly, a peptide derived from E. coli TM4, but where the GG7 motif was scrambled, showed high activity against several SMRs. Overall, the efflux inhibitors designed herein show promise not only for improved treatment of bacterial infections, but more generally, may provide a successful approach to targeting and disrupting membrane‐embedded protein–protein interactions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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