e faecalis atcc 700802 (ATCC)
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E Faecalis Atcc 700802, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 598 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 99 stars, based on 598 article reviews
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Mutagenesis:Article Title: Article Snippet: In a second study, no resistance was observed for TR-700 at 4X, 8X, and 16X the MIC against E. faecalis ATCC 29212 resulting in a mutation frequency of <9.1×10- 10 (mutation frequency calculated as <1/inoculum). .. In a third study (PHA-13-0701-076), spontaneous mutation frequencies in the presence of TR-700 were determined for E. faecalis ATCC 29212 (vancomycin-susceptible) and Activity Assay:Article Title: Artificial intelligence in antibiotic discovery: Applications, challenges, and future outlook Article Snippet: .. For example, Bhatnagar et al. proposed a classification framework to predict AMP activity against clinically relevant pathogens, including Staphylococcus aureus (S. aureus), Escherichia coli, and P. aeruginosa,110 while other studies focused on regression-based MIC value prediction for standardized microbial strains.111 For example, the antibiotic peptide de-extinction (APEX) tool enables MIC prediction against 11 bacterial pathogens, including E. coli ATCC 11775, P. aeruginosa PAO1, P. aeruginosa PA14, S. aureus ATCC 12600, E. coli AIC221, E. coli AIC222, K. pneumoniae ATCC 13883, A. baumannii ATCC 19606, MRSA ATCC BAA-1556, vancomycin-resistant Article Title: Tailored structured peptide design with a key-cutting machine approach Article Snippet: .. Fig. 3 Mechanism of action and cytotoxic activity of designed peptides. a , To assess whether the peptides act on bacterial membranes, all active peptides against A. baumannii American Type Culture Collection (ATCC) 19606 were subjected to outer-membrane permeabilization, and peptides active against A. baumannii ATCC 19606 and vancomycin-resistant Synthesized:Article Title: Artificial intelligence in antibiotic discovery: Applications, challenges, and future outlook Article Snippet: .. For example, Bhatnagar et al. proposed a classification framework to predict AMP activity against clinically relevant pathogens, including Staphylococcus aureus (S. aureus), Escherichia coli, and P. aeruginosa,110 while other studies focused on regression-based MIC value prediction for standardized microbial strains.111 For example, the antibiotic peptide de-extinction (APEX) tool enables MIC prediction against 11 bacterial pathogens, including E. coli ATCC 11775, P. aeruginosa PAO1, P. aeruginosa PA14, S. aureus ATCC 12600, E. coli AIC221, E. coli AIC222, K. pneumoniae ATCC 13883, A. baumannii ATCC 19606, MRSA ATCC BAA-1556, vancomycin-resistant Membrane:Article Title: Tailored structured peptide design with a key-cutting machine approach Article Snippet: .. Fig. 3 Mechanism of action and cytotoxic activity of designed peptides. a , To assess whether the peptides act on bacterial membranes, all active peptides against A. baumannii American Type Culture Collection (ATCC) 19606 were subjected to outer-membrane permeabilization, and peptides active against A. baumannii ATCC 19606 and vancomycin-resistant |

