Title http://gigasciencejournal.com/blog/genome-scale-model-of-a-superbug/ Degree of recognition International Media name/outlet GigaBlog Media type Web Country Australia Date 30/03/18 Description Pseudomonas aeruginosa is one of the world’s most dangerous pathogens, causing life-threatening infections. It is increasingly resistant to all antibiotics. The antibiotic polymyxin is a weapon of last resort against the superbug, but P. aeruginosa is increasingly gaining resistance against polymyxin as well.
In GigaScience, researchers from Monash University’s Biomedicine Discovery Institute (BDI) present a new computational tool to better understand how P. aeruginosa responds to antibiotic treatments (article here, supporting data in our repository GigaDB here and in Metabolights at MTBLS630). An interdisciplinary team, led by antibiotics expert Jian Li, developed a “genome-scale metabolic model”(GSMM) of P. aeruginosa. With the help of the model, scientists can now explore bacterial responses to antibiotics more easily and it provides a short-cut to time-consuming and costly experimental work.
URL gigasciencejournal.com/blog/genome-scale-model-of-a-superbug/ Persons Trevor Lithgow, Jian Li, Jiangning Song Title Computational tool to assess superbug's response to antibiotics Degree of recognition International Media name/outlet labonline Media type Web Country Australia Date 16/03/18 Description Computational tool to assess superbug's response to antibiotics A collaboration led by Monash University scientists has resulted in the creation of a powerful tool for antimicrobial pharmacological research into one of the world’s most dangerous superbugs, Pseudomonas aeruginosa. P. aeruginosa causes life-threatening infectious diseases worldwide and is increasingly resistant to all antibiotics, including the polymyxins used as a last-resort defence. The World Health Organization (WHO) lists P. aeruginosa as a ‘Critical’ priority and is urging the development of novel antibiotics to combat it. With this in mind, a team led by Monash Professor Jian Li developed a genome-scale metabolic model (GSMM) revealing the complex responses of P. aeruginosa to antibiotic treatments. Described in the journal GigaScience, the computational model allows scientists to decipher the complex interplay of metabolic pathways involved in the bacterial responses to antibiotics. URL https://www.labonline.com.au/content/computing-hardware-software/news/computational-tool-to-assess-superbug-s-response-to-antibiotics-116934503 Persons Jian Li, Jiangning Song
- Pseudomonas aeruginosa