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

GPAS

Philip Fowler, 17th May 202113th October 2021

I’ve been working on this for the last few months and very happy that we…

Continue Reading
antimicrobial resistance

Research position advertised

Philip Fowler, 26th January 202126th January 2021

Come and work with me on antimicrobial resistance! Advert here. Broadly the idea is to…

Continue Reading
antimicrobial resistance

New publication: how quickly can be calculate the effect of a mutation on an antibiotic?

Philip Fowler, 20th November 202020th November 2020

The idea for this paper arose during talking over coffee at the BioExcel Alchemical Free…

Continue Reading
antimicrobial resistance

AMyGDA now available from GitHub

Philip Fowler, 27th January 202027th January 2020

AMyGDA is a python module that analyses photographs of 96-well plates and, by examining each…

Continue Reading
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
computing

GROMACS2018 on NVIDIA DGX-1s

Philip Fowler, 27th September 201929th October 2019

HECBioSim advertised for proposals to use JADE, the new Tier-2 UK GPU high performance computer…

Continue Reading
  • Previous
  • 1
  • 2
  • 3
  • 4
  • …
  • 11
  • Next
©2025 Fowler Lab | WordPress Theme by SuperbThemes