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

New Publication: NRas slows the rate at which a model lipid bilayer phase separates

Philip Fowler, 13th June 2014

 

Here we examine by computer simulation what effect adding a small cell-signalling protein does to a model ternary lipid mixture that has been shown before to phase separate. This paper was presented at the 169th Faraday Discussion meeting in Nottingham in May 2014, the theme of which was Molecular simulations and visualization. We followed the progress of the phase separation of the lipid bilayer by measuring the length of the interface using an edge detection algorithm from image processing. An example python script can be downloaded here.

post

We found that the protein, NRas, indeed slows down the rate at which the bilayer phase separates. The protein also tends to localise to the interface between the domains which is consistent with it acting to reduce the line tension between the phases.

The questions asked during the discussion (and my answers) will be posted on the journal’s website soon. I’ll update this post when that happens. This paper is open access so is free to download.

Share this:

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

Related

publication

Post navigation

Previous post
Next post

Related Posts

antimicrobial resistance

New preprint: compensatory mutations are associated with increased growth in resistant samples of M. tuberculosis.

22nd June 20238th December 2023

In this preprint, Viki Brunner shows how, using the large CRyPTIC dataset, she can recapitulate…

Share this:

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

New Publication: Structure of MmpL3

21st July 202121st July 2021

Oliver Adams successfully elucidated the structure of the M. tuberculosis MmpL3 membrane transporter using cryo-EM…

Share this:

  • Click to share on X (Opens in new window) X
  • Click to share on Bluesky (Opens in new window) Bluesky
  • Click to email a link to a friend (Opens in new window) Email
  • Click to share on LinkedIn (Opens in new window) LinkedIn
  • Click to share on Mastodon (Opens in new window) Mastodon
Read More
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:

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

Comments (2)

  1. Pingback: New Publication: Lipids can form anti-registered phases – Philip W Fowler
  2. Pingback: New Publication: Lipids can form anti-registered phases – Philip W Fowler

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
    ©2025 Fowler Lab | WordPress Theme by SuperbThemes
     

    Loading Comments...