MétaCan
Menu
Back to cohort
Record W3203759264 · doi:10.26685/urncst.291

Recombinant Antimicrobial Peptide Fusion Between Crotalicidin Fragment Tag and Bacteriophage Endolysin T5 as a Potential Antibacterial Agent Against Multidrug Resistant Gram-Negative Bacteria: A Research Protocol

2021· article· en· W3203759264 on OpenAlexafffund
Alex Huynh, Dalraj Dhillon, Dhairya Bhatt, Eric Zhang

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsLysinMicrobiologyPseudomonas aeruginosaBiologyRecombinant DNAMultiple drug resistanceGram-negative bacteriaAntimicrobialAntimicrobial peptidesBacteriaPeptidoglycanBacteriophageEscherichia coliAntibioticsBiochemistry

Abstract

fetched live from OpenAlex

Introduction: Endolysins, antimicrobial peptides that disrupt the peptidoglycan (PG) layer of bacteria, are a strong alternative to common antibiotics and less prone to antibiotic resistance. However, endolysins are ineffective against gram-negative bacteria due to an additional outer membrane (OM) blocking the PG layer. This research protocol aims to address this caveat by developing a novel recombinant endolysin peptide, EndoT5-Ctn (15-34), comprised of phage Endolysin T5 and a Crotalicidin tag (Ctn (15-34)) capable of permeabilizing the OM. This would render the endolysin effective against gram-negative bacteria such as multidrug-resistant (MDR) Pseudomonas aeruginosa. Methods: Experimentation will begin with recombinant DNA techniques to engineer a bacterial vector which expresses the EndoT5-Ctn (15-34) peptide. Protein expression will be achieved in competent BL21 (DE3) E. coli strains before protein isolation with lysis methods and immobilized-metal affinity chromatography. Resulting sample concentrations will be assayed using spectrophotometry. Finally, in vivo minimal inhibitory and bactericidal concentration assays will be conducted on MDR P. aeruginosa and methicillin-resistant Staphylococcus aureus (MRSA) to evaluate bactericidal efficacy. Results: A minimal bactericidal concentration of EndoT5-Ctn (15-34) recombinant endolysin is expected to yield significant bactericidal activity against the MDR P. aeruginosa strain with limited effect on the gram-positive MRSA. A higher concentration of recombinant endolysin is expected to maintain its gram-negative bactericidal efficacy with an imported gram�positive bactericidal efficacy. Discussion: The observed bactericidal efficacy on AMR and non-AMR strains on P. aeruginosa will prompt further exploration of the therapeutic feasibility of this therapy regarding factors such as cytotoxicity, immunogenicity, and thermal stability. The potential introduction of recombinant endolysins presents an alternative treatment for infections with reduced risk of inducing resistant mutations. Conclusion: The EndoT5-Ctn (15-34) recombinant endolysin is a novel anti-bacterial agent which is expected to have significant bactericidal effects on MDR strains of gram-negative bacteria which current antibiotics have been ineffective at combating.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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.

Opus teacher head0.042
GPT teacher head0.394
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreProtocol

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".

Quick stats

Citations2
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) JournalSame topicBacteriophages and microbial interactionsFrench-language works237,207