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gram negative pgprs  (ATCC)


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    Structured Review

    ATCC gram negative pgprs
    Gram Negative Pgprs, supplied by ATCC, used in various techniques. Bioz Stars score: 93/100, based on 30 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/gram+negative/Rhizobium+tropici+Martinez-Romero+et+al/us12648568-195-4-14
    Average 93 stars, based on 30 article reviews
    gram negative pgprs - by Bioz Stars, 2026-09
    93/100 stars

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    Bacteria:

    Article Title: Engineering photoresponsive chitosan-azo-o-vanillin Schiff bases with enhanced antimicrobial and biocompatible properties
    Article Snippet: Chitosan–Schiff base derivatives have emerged as promising antimicrobial agents due to their tunable physicochemical and surface properties.. To yield Schiff base derivatives, chitosan can be protonated and, subsequently, functionalized with molecules containing an aldehyde group.. In the present study, we synthesized azo-o-vanillin Schiff base derivatives of low-molecular-weight chitosan, with varying the amount of azo-o-vanillin loading.

    Article Title: BIOTECHNOLOGICAL POTENTIAL AND PHYSIOLOGICAL ADAPTATION OF POLY-EXTREMOPHILIC BACILLUS STRAINS ISOLATED FROM THE HYPERSALINE SEBKHAS OF ADRAR, ALGERIA
    Article Snippet: .. Test bacteria pathogen for the experiment included 10 strains: four Gram-positive (Staphylococcus aureus ATCC 25923, Bacillus cereus ATCC 10876, Enterococcus faecalis ATCC 49452, and Enterococcus hirae ATCC 10541) and six Gram-negative (Escherichia coli ATCC 8739, Pseudomonas aeruginosa ATCC 25837, Klebsiella pneumoniae ATCC 52145, Citrobacter freundii ATCC 5732, Salmonella enterica ATCC 5630, and Proteus mirabilis ATCC 783CI), plus one yeast strain (Candida albicans ATCC 10231). ..

    Article Title: Detection of Listeria monocytogenes using anti-internalin antibodies generated through epitope prediction.
    Article Snippet: Listeria monocytogenes is a major food borne pathogen, and rapid, highly specific immunodetection tools are essential for surveillance in dairy food systems.. This study reports an epitope-guided strategy for developing antiInternalin A (Inl A) and B (Inl B) antibodies and their application in ELISA based detection of of L. monocytogenes.. The inlA gene was successfully amplified from three reference strains, confirming target sequence conservation within outbreak associated serotypes.

    Article Title: A structural blueprint for antibacterial discovery: microwave- and ultrasound-assisted synthesis of pyrrolidine-fused quinoxalines as novel inhibitors of DNA gyrase and biofilm
    Article Snippet: The action of the antibacterial was assessed utilizing the well-diffusion of Agar test (Sabaraud Dextrose Agar plates (fungi) and Tryptic Soya Agar plates (bacteria)) (Oxoid Ltd, UK). .. Eight different hybrids were examined for antimicrobial action taken in opposition to test organisms, namely, Gram-positive bacteria (Methicillin sensitive S . aureus (MSSA) ATCC 25923), Bacteria that are Gram-negative ( P. aeruginosa ATCC 27853, A. baumannii ATCC 19606, K. pneumonia ATCC 700603, E. coli ATCC 25922), and fungal strain ( C. albicans ATCC 10231). ..

    Activity Assay:

    Article Title: Phytochemical Profiles and Antimicrobial Activity of Alnus glutinosa (L.) Gaertn. Leaves Growing in Kazakhstan
    Article Snippet: .. The antimicrobial activity of four samples ( 1 , 2 , 3 , and 4 ) prepared from the aqueous extract of A. glutinosa leaves was evaluated against selected Gram-positive ( Staphylococcus aureus ATCC 6538) and Gram-negative ( Salmonella abony NTCC 6017, Escherichia coli NTCC 8439, Klebsiella pneumoniae ATCC 700603) bacterial strains. ..

    Synthesized:

    Article Title: Modification-aware AI enables terminal chemical modifications for peptide design and discovers potent antimicrobials
    Article Snippet: .. We evaluated a set of synthesized peptide candidates comprising 120 peptide entries, representing 60 unique backbone sequences with distinct N-terminus (Free vs Acetyl) and C-terminus (Free vs Amide) states, against a panel spanning Gram-negative ( A. baumannii ATCC 19606, E. coli ATCC 11775, K. pneumoniae ATCC 13883, P. aeruginosa PAO1, S. enterica ATCC 9150, and S. enterica Typhimurium ATCC 700720) and Gram-positive species ( B. subtilis ATCC 23857, S. aureus ATCC 12600, L. monocytogenes ATCC 19111, E. faecalis ATCC 700802, and E. faecium ATCC 700221) ( Figure S5 ). ..



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    Summary of E. coli strains and plasmids used and their incompatibility group.
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    Journal: International Journal of Microbiology

    Article Title: The Effect of Antibiotic and Nonantibiotic Drugs on Plasmid‐Mediated Bacterial Conjugation

    doi: 10.1155/ijm/3323758

    Figure Lengend Snippet: Summary of E. coli strains and plasmids used and their incompatibility group.

    Article Snippet: To assess the growth inhibitory effects of the selected test samples (antibiotics, antidiabetics, and antihypertensives) on bacteria and determine an appropriate concentration for the anticonjugation assay, the antibiotics and nonantibiotics were tested against susceptible Gram‐negative standard isolate E. coli ATCC 25922.

    Techniques: Plasmid Preparation

    (A) Heat map of minimum inhibitory concentrations (MICs, μmol[L −1 ) against 11 clinically relevant Gram-negative (–) and Gram-positive (+) pathogens, including antibiotic-resistant strains. Bacteria (10 5 CFU) were incubated with serial peptide dilutions (0–64 μmol□L −1 ) at 37□°C, and growth was quantified by OD 600 after 24 h. MIC values represent the mode of replicate measurements for each condition. Hemolytic (HC 50 ) and cytotoxic (CC 50 ) concentrations, defined as the peptide concentration causing 50% lysis of red blood cells or reduction in HEK293T cell viability, respectively. Values were obtained by nonlinear regression of dose-response curves. Data represent three independent experiments. (B) Prediction accuracies of models for predicting peptide toxicity, evaluated on a randomly selected 20% test set from the curated dataset. (C) Experimental validation of the toxicity predicted score as a counter-screening filter. Of the 81 peptides selected using a toxicity score threshold of 0.2, 97.5% were non-hemolytic based on HC 50 , 74.1% were non-cytotoxic based on CC 50 , and 71.6% were classified as non-toxic using the combined endpoint min(HC 50 , CC 50 ). Peptides with HC 50 or CC 50 values > 64 μmol L −1 (estimated by non-linear regression) were considered non-hemolytic or non-cytotoxic, respectively. (D) Heat map shows the percentage of secondary structure for each peptide calculated using the BeStSel algorithm. Ternary plot showing the secondary structure fraction for each of the selected peptides.

    Journal: bioRxiv

    Article Title: Modification-aware AI enables terminal chemical modifications for peptide design and discovers potent antimicrobials

    doi: 10.64898/2026.04.09.717597

    Figure Lengend Snippet: (A) Heat map of minimum inhibitory concentrations (MICs, μmol[L −1 ) against 11 clinically relevant Gram-negative (–) and Gram-positive (+) pathogens, including antibiotic-resistant strains. Bacteria (10 5 CFU) were incubated with serial peptide dilutions (0–64 μmol□L −1 ) at 37□°C, and growth was quantified by OD 600 after 24 h. MIC values represent the mode of replicate measurements for each condition. Hemolytic (HC 50 ) and cytotoxic (CC 50 ) concentrations, defined as the peptide concentration causing 50% lysis of red blood cells or reduction in HEK293T cell viability, respectively. Values were obtained by nonlinear regression of dose-response curves. Data represent three independent experiments. (B) Prediction accuracies of models for predicting peptide toxicity, evaluated on a randomly selected 20% test set from the curated dataset. (C) Experimental validation of the toxicity predicted score as a counter-screening filter. Of the 81 peptides selected using a toxicity score threshold of 0.2, 97.5% were non-hemolytic based on HC 50 , 74.1% were non-cytotoxic based on CC 50 , and 71.6% were classified as non-toxic using the combined endpoint min(HC 50 , CC 50 ). Peptides with HC 50 or CC 50 values > 64 μmol L −1 (estimated by non-linear regression) were considered non-hemolytic or non-cytotoxic, respectively. (D) Heat map shows the percentage of secondary structure for each peptide calculated using the BeStSel algorithm. Ternary plot showing the secondary structure fraction for each of the selected peptides.

    Article Snippet: We evaluated a set of synthesized peptide candidates comprising 120 peptide entries, representing 60 unique backbone sequences with distinct N-terminus (Free vs Acetyl) and C-terminus (Free vs Amide) states, against a panel spanning Gram-negative ( A. baumannii ATCC 19606, E. coli ATCC 11775, K. pneumoniae ATCC 13883, P. aeruginosa PAO1, S. enterica ATCC 9150, and S. enterica Typhimurium ATCC 700720) and Gram-positive species ( B. subtilis ATCC 23857, S. aureus ATCC 12600, L. monocytogenes ATCC 19111, E. faecalis ATCC 700802, and E. faecium ATCC 700221) ( Figure S5 ).

    Techniques: Bacteria, Incubation, Concentration Assay, Lysis, Biomarker Discovery