Skip to content
Fowler Lab
Fowler Lab

Predicting antimicrobial resistance

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

Predicting antimicrobial resistance

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 membranes

It is difficult to look at the dynamic spatial organisation of ion channels in cell membranes, but this is something coarse-grained molecular dynamics simulations can offer insights. This work, led by Anna Duncan, shows how altering the lipid composition of the membrane changes the large-scale organisation of the Kir2.2 channels. Building on some previous work, we also show how the membrane properties, such as stiffness, are also altered. The latter relies on some python code that you can download from GitHub. The paper is free to download.

Share this:

  • Share on X (Opens in new window) X
  • Share on Bluesky (Opens in new window) Bluesky
  • Email a link to a friend (Opens in new window) Email
  • Share on LinkedIn (Opens in new window) LinkedIn
  • Share on Mastodon (Opens in new window) Mastodon

Related

publication research

Post navigation

Previous post
Next post

Related Posts

antimicrobial resistance

New paper: predicting rifampicin resistance via free energy simulation

23rd September 20253rd October 2025

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

Share this:

  • Share on X (Opens in new window) X
  • Share on Bluesky (Opens in new window) Bluesky
  • Email a link to a friend (Opens in new window) Email
  • Share on LinkedIn (Opens in new window) LinkedIn
  • Share on Mastodon (Opens in new window) Mastodon
Read More
antimicrobial resistance

New publication: Reconciling the potentially irreconcilable? Genotypic and phenotypic amoxicillin-clavulanate resistance in Escherichia coli.

30th March 202022nd August 2020

Clinical microbiology often assumes a sample is resistant or susceptible. Making such a classification relies…

Share this:

  • Share on X (Opens in new window) X
  • Share on Bluesky (Opens in new window) Bluesky
  • Email a link to a friend (Opens in new window) Email
  • Share on LinkedIn (Opens in new window) LinkedIn
  • Share on Mastodon (Opens in new window) Mastodon
Read More

New preprint: validating antibiotic resistance prediction in our Myco pipeline

9th November 202413th January 2025

Over the last 18 months or so we’ve been designing, coding and testing a Mycobacterial…

Share this:

  • Share on X (Opens in new window) X
  • Share on Bluesky (Opens in new window) Bluesky
  • Email a link to a friend (Opens in new window) Email
  • Share on LinkedIn (Opens in new window) LinkedIn
  • 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
    ©2026 Fowler Lab | WordPress Theme by SuperbThemes