2018
DOI: 10.2174/1573406414666180508120024
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Design of Bactericidal Peptides Against Escherichia coli O157:H7, Pseudomonas aeruginosa and methicillin-resistant Staphylococcus aureus

Abstract: New CAMPs have been designed using a genetic algorithm based on selected physicochemical descriptors and single amino acid substitution. These CAMPs interacted quite specifically with the bacterial cell membrane, GIBIM-P5S9K exhibiting high antibacterial activity on Escherichia coli O157:H7, methicillin-resistant strains of Staphylococcus aureus and P. aeruginosa.

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Cited by 7 publications
(8 citation statements)
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“…For instance, GIBIM-P5S9K (G17), a new antimicrobial peptide, designed through a genetic algorithm optimization strategy, has showed a wide range of activity against MRSA, E. coli O157:H7 and P. aeruginosa. In addition, previous studies have shown that a nanoencapsulated preparation of G17 displays both low erythrocyte hemolysis and cytotoxicity, and it is stable in human sera [17]. In this work, GAM019 (G19), an analogue of the G17 peptide was synthesized by solid-phase chemistry and encapsulated in PLGA at different peptide/biopolymer ratios in order to obtain the best physicochemical properties of surface charge, size, encapsulation efficiency and also improve its antimicrobial activity against MRSA and E. coli O157:H7.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, GIBIM-P5S9K (G17), a new antimicrobial peptide, designed through a genetic algorithm optimization strategy, has showed a wide range of activity against MRSA, E. coli O157:H7 and P. aeruginosa. In addition, previous studies have shown that a nanoencapsulated preparation of G17 displays both low erythrocyte hemolysis and cytotoxicity, and it is stable in human sera [17]. In this work, GAM019 (G19), an analogue of the G17 peptide was synthesized by solid-phase chemistry and encapsulated in PLGA at different peptide/biopolymer ratios in order to obtain the best physicochemical properties of surface charge, size, encapsulation efficiency and also improve its antimicrobial activity against MRSA and E. coli O157:H7.…”
Section: Introductionmentioning
confidence: 99%
“…Antimicrobial peptides (AMP) have a low propensity for bacteria resistance [71,72]. The research group of Rondón-Villarreal [11] developed an AMP library using the CAMP R3 [73] database, and genetic algorithms. The peptide library was designed with specific physicochemical properties (charge, hydrophobicity, isoelectric point, and stability index) and tested against E. coli, Pseudomonas aeruginosa and methicillin-resistant Staphylococcus aureus.…”
Section: General Opportunitiesmentioning
confidence: 99%
“…The speakers (8 researchers working in a Latin American Country or from Latin American origin) have a broad perspective since they work in academia, industry (large pharmaceutical companies or new start-ups), public research institutions or non-for-profit organizations. Machine learning in virtual screening and peptide's design [11] Fabien Plisson…”
Section: Introductionmentioning
confidence: 99%
“…Thus, in recent years, many researchers have used AMPs instead of traditional antibiotics to modify skin dressing materials and apply them to skin injury repair ( Gomez-Sequeda et al, 2020 ). For example, based on optimizing the physicochemical properties of the peptide, Jenniffer and their team made reasonable modifications to its sequence and designed a new antibacterial peptide (P5S9K) ( Cruz et al, 2018 ). The results showed that the AMPs adopted a helical structure in a simulated cell membrane environment and could pass through the cell membrane of pathogenic bacteria in a dose-dependent manner, thus reaching an antibacterial effect.…”
Section: Introductionmentioning
confidence: 99%