IN VITRO EFFECT OF NEWLY BACTERIOPHAGES ISOLATES AGAINST ESCHERICHIA COLI SEROGROUPS COLLECTED FROM THE LOCAL HOSPITAL LABORATORY; THEIR SPECIFIC CHARACTERIZATION AND IDENTIFICATION
Bibliographic record
Abstract
The aim of this study is to isolate a new bacteriophage with lytic effect against several serogroups of Escherichia coli that were isolated from different samples submitted to the local hospital laboratory. These serogroups are the main causative agents of bloodstream and urinary tract infections (UTIs) among Gram-negative bacteria. Three isolates of E. coli were used as a host to isolate phages from a hospital wastewater treatment plant. Eight phages were isolated and only three of them (EC-BSR1, EC-BSR2, and EC-BSR3) were considered for further characterization and identification. The three phages appear to belong to Myoviridae characterized by icosahedral heads, necks and contractile tails with tail fibers. Phage EC-BSR1 and EC-BSR2 had genome sizes of 67.06 and 68.04 kb, respectively. All three phages were lysed 100% of E. coli serogroups that was tested in vitro and 42.7%, 61.7% and 44.7% in vitro lyses of ECOR collection reference. Phages were resistant to pH from 5 to 9, and phage EC-BSR3 appeared to be more resistant than the other two phages to an acidic and alkaline environment. These phages have the pattern of homologous DNA fragments after being digested with Acc1 and EcoR1 restriction enzymes. It was concluded that these phages are highly coli lytic for the E. coli serogroups isolates.
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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".