Anisotropic membrane curvature sensing by amphipathic peptides

TL;DR

This study introduces a simulation-based method to analyze how amphipathic peptides sense membrane curvature, revealing diverse sensing behaviors and challenging existing hydrophobic insertion theories.

Contribution

The paper presents a novel simulation approach to study anisotropic membrane curvature sensing by peptides, providing new insights into their mechanisms and broad applicability.

Findings

Different peptides exhibit distinct curvature sensing characteristics.

The results challenge traditional hydrophobic insertion models.

The approach can be applied to various membrane-associated molecules.

Abstract

Many proteins and peptides have an intrinsic capacity to sense and induce membrane curvature, and play crucial roles for organizing and remodelling cell membranes. However, the molecular driving forces behind these processes are not well understood. Here, we describe a new approach to study curvature sensing, by simulating the direction-dependent interactions of single molecules with a buckled lipid bilayer. We analyse three amphipathic antimicrobial peptides, a class of membrane-associated molecules that specifically target and destabilize bacterial membranes, and find qualitatively different sensing characteristics that would be difficult to resolve with other methods. These findings provide new insights into the curvature sensing mechanisms of amphipathic peptides and challenge existing theories of hydrophobic insertion. Our approach is generally applicable to a wide range of curvature sensing molecules, and our results provide strong motivation to develop new experimental methods to track position and orientation of membrane proteins.