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: computing

antimicrobial resistance

New preprint: rapidly and reproducibly building resistant catalogues for M. tuberculosis

Philip Fowler, 3rd October 20253rd October 2025

The CRyPTIC project carried out many exciting research projects but it never quite got around…

Continue Reading
antimicrobial resistance

New paper: predicting rifampicin resistance via free energy simulation

Philip Fowler, 23rd September 20253rd October 2025

This work was carried out by Xibei Zhang, who is doing her PhD with Peter…

Continue Reading
antimicrobial resistance

New paper: automatically and reproducibly building a catalogue bedaquline resistance-associated variants

Philip Fowler, 18th June 20251st July 2025

Dylan Adlard‘s paper describing how we can rapidly automatically build catalogues of bedaquiline resistance-associated variants…

Continue Reading
antimicrobial resistance

New paper: a deep learning model that reads MICs from images of 96 well plates

Philip Fowler, 26th May 20251st July 2025

Our paper describing how a convolutional neural network model can determine the minimum inhibitory concentrations…

Continue Reading
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This blog updates an old (and now out of date) post describing the grammar we’ve…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
  • 1
  • 2
  • …
  • 11
  • Next
©2025 Fowler Lab | WordPress Theme by SuperbThemes