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: rapid prediction of AMR by free energy methods

Philip Fowler, 15th January 202015th January 2020

The story behind this preprint goes back to the workshop on free energy methods run…

Continue Reading
antimicrobial resistance

New preprint: Predicting pyrazinamide resistance by machine learning

Philip Fowler, 29th April 201929th April 2019

Usually, the protein that an antibiotic binds is essential for bacterial survival, which is how…

Continue Reading
antimicrobial resistance

Successful NIHR grant

Philip Fowler, 29th June 20185th August 2018

Last year I coordinated a bid to the NIHR for capital to improve our research…

Continue Reading
antimicrobial resistance

New Publication: Predicting whether mutations confer resistance to an antibiotic

Philip Fowler, 5th January 201829th September 2018

Due to the rise of antibiotic resistance, it is increasingly important that your clinician knows…

Continue Reading
citizen science

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

Philip Fowler, 11th December 20175th August 2018

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

Continue Reading
publication

New Publication: Protein crowding affects the organisation of ion channels

Philip Fowler, 3rd December 201729th September 2018

Protein crowding and lipid complexity influence the nanoscale dynamic organization of ion channels in cell…

Continue Reading
  • Previous
  • 1
  • …
  • 4
  • 5
  • 6
  • …
  • 8
  • Next
©2025 Fowler Lab | WordPress Theme by SuperbThemes
 

Loading Comments...