New publication: CRyPTIC GWAS of antitubercular resistance Philip Fowler, 16th August 202216th August 2022 Since the primary goal of CRyPTIC was to map the genetic variants in M. tuberculosis associated with resistance to different antibiotics, this genome-wide association study is one of the key research outputs of the project. It brings together all the samples with genetic and drug susceptibility testing (DST) data and therefore relies on all the efforts to reduce the errors in the DST data, for example using AMyGDA to read the photographs of the 96-well plates and the efforts of the BashTheBug volunteers. In addition to associating genes already known to confer resistance to specific antibiotics, putative resistance genes are proposed for each of the thirteen drugs on the UKMYC series of broth microdilution plates. Danny Wilson and Sarah Earle led the GWAS analysis, which is complicated not only by the population structure (lineages) of M. tuberculosis but also by the fact that the resistance to each drug correlates with resistance to other drugs. Our involvement was mainly in improving the quality of the DST data, thereby improving the signal-to-noise ratio. Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance clinical microbiology tuberculosis
antimicrobial resistance BashTheBug.net Zooniverse Citizen Science project launches today! 7th April 20175th August 2018 My citizen science project, BashTheBug, is launched today. Head over to the website or go… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New preprint: Predicting pyrazinamide resistance by machine learning 29th April 201929th April 2019 Usually, the protein that an antibiotic binds is essential for bacterial survival, which is how… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
New publication: Predicting antibiotic resistance in complex protein targets using alchemical free energy methods 26th August 202224th October 2022 In this paper, Alice Brankin calculates how different mutations in the DNA gyrase affect the… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More