Skip to content
Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

  • News
  • Research
    • Overview
    • Manifesto
    • Software
    • Reproducibility
    • Publications
  • Members
  • Teaching
  • Contact
    • PhDs
  • Wiki
Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

New publication: Differential occupational risks to healthcare workers from SARS-CoV- 2

Philip Fowler, 2nd July 202022nd August 2020

Very pleased and proud to be included on this manuscript, which has been published in eLife (and is also  available as a preprint); the observations are drawn from the large and comprehensive SARS-CoV-2 testing programme run by Oxford University Hospitals NHS Trust. I helped develop the internal website used by staff to book appointments and find out their results. As a bonus it forced me to finally learn Flask!

This post was updated on 22 Aug 2020.

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 publication

Post navigation

Previous post
Next post

Related Posts

New publication: detecting minor populations important for predicting fluoroquinolone resistance

5th April 20238th December 2023

When predicting if an infection is resistant or susceptible to a specific antibiotic, it is…

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
citizen science

Automated detection of bacterial growth on 96-well plates (AMyGDA)

11th December 20175th August 2018

I am involved in an international collaboration, the Comprehensive Resistance Prediction for Tuberculosis: an International Consortium…

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

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
To find out more, including how to control cookies, see here: Cookie Policy
    ©2025 Fowler Lab | WordPress Theme by SuperbThemes