Issue 27, 2023

Simulation study of membrane bending by protein crowding: a case study with the epsin N-terminal homology domain

Abstract

The mechanisms by which peripheral membrane proteins generate curvature is currently an active area of research. One of the proposed mechanisms is amphipathic insertion or the ‘wedge’ mechanism in which the protein shallowly inserts an amphipathic helix inside the membrane to drive the curvature. However, recent experimental studies have challenged the efficiency of the ‘wedge’ mechanism as it requires unusual protein densities. These studies proposed an alternative mechanism, namely ‘protein-crowding’, in which the lateral pressure generated by the random collisions among the membrane bound proteins drives the bending. In this study, we employ atomistic and coarse-grained molecular dynamics simulations to investigate the effects of amphipathic insertion and protein crowding on the membrane surface. Considering epsin N-terminal homology (ENTH) domain as a model protein, we show that amphipathic insertion is not essential for membrane bending. Our results suggest that ENTH domains can aggregate on the membrane surface by employing another structured region (H3 helix). And this protein crowding decreases the cohesive energy of the lipid tails which causes a significant decrease in the membrane bending rigidity. The ENTH domain can generate a similar degree of membrane curvature irrespective of the activity of its H0 helix. Our results are consistent with the recent experimental results.

Graphical abstract: Simulation study of membrane bending by protein crowding: a case study with the epsin N-terminal homology domain

Supplementary files

Article information

Article type
Paper
Submitted
04 Mar 2023
Accepted
12 Jun 2023
First published
14 Jun 2023

Soft Matter, 2023,19, 5092-5102

Simulation study of membrane bending by protein crowding: a case study with the epsin N-terminal homology domain

T. Mandal, S. Gupta and J. Soni, Soft Matter, 2023, 19, 5092 DOI: 10.1039/D3SM00280B

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