Project description:According to our study, Chrysanthemum lavandulifolum extract showed excellent antibiotic effects on Escherichia coli O157:H7. A notable point is that the antibiotic efficacy of the herb extract is on the all three proven targets for main antibiotic drugs that are bacterial cell wall biosynthesis, bacterial protein synthesis and bacterial DNA replication and repair. This multi-target efficacy of the herbal antibiotics may be used as more effective and safe drugs that substitute existing antibiotics.
Project description:Based on a simple E.coli growth inhibition assay, the authors trained a model capable of identifying antibiotic potential in compounds structurally divergent from conventional antibiotic drugs. One of the predicted active molecules, Halicin (SU3327), was experimentally validated in vitro and in vivo.
Model Type: Predictive machine learning model.
Model Relevance: Probability that a compound inhibits E.coli growth.
Model Encoded by: Miquel Duran-Frigola(Ersilia)
Metadata Submitted in BioModels by: Zainab Ashimiyu-Abdusalam
Implementation of this model code by Ersilia is available here:
https://github.com/ersilia-os/eos4e40
Project description:Many bacteria are often resistant to antibiotic treatment and drugs because, even if these drugs are effective, bacteria can slow down their growth rate and thus attenuate the effectiveness of the drug. A similar growth-rate control is detected in pathogenic bacteria that infect and persist inside their hosts. The bacterial growth rate within host cells can be regulated by multiple signaling pathways, most of which are still unknown. A toxin-antitoxin (TA) system is one of the candidates for controlling bacterial growth because the TA system could slow down growth by expressing a toxin component. The toxin protein can be neutralized by the antitoxin component, serving as a non-heritable phenotypic switch for growth rate. In this study, we investigated a type II toxin-antitoxin system from the intracellular bacterial pathogen Salmonella enterica serovar Typhimurium. We characterized residues required for toxin’s activity and a potential mechanism of the toxin by searching for its target via bacterial two-hybrid screening. Understanding the underlying mechanism of toxin-mediated persister formation and growth rate control within host cells will provide a new alternative to treat antibiotic resistant bacteria or intracellular bacteria surviving within host cells.
Project description:Many bacteria are often resistant to antibiotic treatment and drugs because, even if these drugs are effective, bacteria can slow down their growth rate and thus attenuate the effectiveness of the drug. A similar growth-rate control is detected in pathogenic bacteria that infect and persist inside their hosts. The bacterial growth rate within host cells can be regulated by multiple signaling pathways, most of which are still unknown. A toxin-antitoxin (TA) system is one of the candidates for controlling bacterial growth because the TA system could slow down growth by expressing a toxin component. The toxin protein can be neutralized by the antitoxin component, serving as a non-heritable phenotypic switch for growth rate. In this study, we investigated a type II toxin-antitoxin system from the intracellular bacterial pathogen Salmonella enterica serovar Typhimurium. We characterized residues required for toxin’s activity and a potential mechanism of the toxin by searching for its target via bacterial two-hybrid screening. Understanding the underlying mechanism of toxin-mediated persister formation and growth rate control within host cells will provide a new alternative to treat antibiotic resistant bacteria or intracellular bacteria surviving within host cells.