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: State-Dependent Network Connectivity Determines Gating in a K+ Channel

Philip Fowler, 27th June 2014

In an earlier paper we showed that the closed state of Kir1.1, a important potassium ion channel found in the kidneys, was stabilised by a single hydrogen bond. This paper builds on that work by looking for any interactions that stabilise either the open or closed state of the channel by systematically mutating the majority of the residues to alanine. We were surprised to find that 47 mutations destabilised the open state but only 2 destabilised the closed state, one of which was the one we’d found before. Modelling suggests that this is because open conformations of the channel are more optimised and compact hence mutations tend to be more disruptive. The work was partly funded by the Wellcome Trust and hence the paper is free to download.

fig-k11-2

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 publication: Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of M. tuberculosis

26th October 2018

In this Microbiology paper we show how a Python package, called the Automated Mycobacterial Detection Growth…

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

20th November 202020th November 2020

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

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
clinical microbiology

New paper: Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny

9th February 20269th February 2026

Zam Iqbal, at the University of Bath, led this epic study published today in Nature…

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
    Loading Comments...