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

Category: research

antimicrobial resistance

New preprint: predicting rifampicin resistance

Philip Fowler, 16th August 202416th August 2024

In this preprint we train a series of machine learning models on protein mutations found…

Continue Reading
antimicrobial resistance

Updating the Grammar for Antimicrobial Resistance Catalogues

Philip Fowler, 18th July 202418th July 2024

This blog updates an old (and now out of date) post describing the grammar we’ve…

Continue Reading
antimicrobial resistance

New paper: predicting pyrazinamide resistance

Philip Fowler, 20th March 202420th March 2024

This paper has finally been published and you can find it here. It had a…

Continue Reading
antimicrobial resistance

New paper: quantitative measurement of effect of mutations on antibiotics in M. tuberculosis

Philip Fowler, 15th January 202415th January 2024

The CRyPTIC project played a major role in the release by the WHO of their…

Continue Reading
antimicrobial resistance

New preprint: Infection Inspection

Philip Fowler, 12th December 202312th December 2023

Some great work by Conor Feehily, Nicole Stoesser and others, including collaborators from the Department…

Continue Reading

Desirable features for any antibiotic resistance catalogue

Philip Fowler, 31st October 202331st October 2023

In the past few years a growing number of catalogues containing mutations associated with resistance…

Continue Reading
  • Previous
  • 1
  • 2
  • 3
  • …
  • 8
  • Next
©2025 Fowler Lab | WordPress Theme by SuperbThemes