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: Proteins Alter the Stiffness of Membranes

Philip Fowler, 23rd September 201629th September 2018

Although there have been many studies of proteins whose primary function is to ‘sculpt’ the surface of membranes e.g. BAR domains, there have been very few investigations of what effect regular membrane proteins have on the stiffness of membranes. Here we show via very large simulations, using the MARTINI coarse-grained forcefield, that ‘regular’ integral membrane proteins, such as an ion channel or a beta-barrel, reduce the stiffness of the membrane, leading to larger fluctuations. The systems studied push the boundaries of what is currently achievable with biomolecular simulation, containing around 50,000 lipids and 100 proteins. We had access to the French supercomputer CURIE, through the EU PRACE network, for this work.

This is the second in a set of three papers that bring my research on cell signalling and membranes in the SBCB group within the Department of Biochemistry to a close and is available to download here.

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 research

Post navigation

Previous post
Next post

Related Posts

citizen science

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

11th December 20175th August 2018

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

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 preprint: predicting rifampicin resistance

16th August 202416th August 2024

In this preprint we train a series of machine learning models on protein mutations found…

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 preprint: rapid prediction of AMR by free energy methods

15th January 202015th January 2020

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

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

Comment

  1. Pingback: New Publication: Protein crowding affects the organisation of ion channels – Fowler Lab

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