Models for membrane curvature sensing of curvature generating proteins
T. V. Sachin Krishnan, Sovan L. Das, P. B. Sunil Kumar

TL;DR
This paper compares two models of membrane curvature sensing by proteins, analyzing their predictions and applicability to different biological mechanisms through analytical and simulation methods.
Contribution
It provides a detailed comparison of the spontaneous curvature and curvature mismatch models, clarifying their assumptions, predictions, and suitable biological contexts.
Findings
Spontaneous curvature model predicts a monotonic sensing curve.
Curvature mismatch model predicts a non-monotonic sensing curve.
Different models are suited for different protein mechanisms.
Abstract
The curvature sensitive localization of proteins on membranes is vital for many cell biological processes. Coarse-grained models are routinely employed to study the curvature sensing phenomena and membrane morphology at the length scale of few micrometers. Two prevalent phenomenological models exist for modeling experimental observations of curvature sensing, (1) the spontaneous curvature model and (2) the curvature mismatch model, which differ in their treatment of the change in elastic energy due to the binding of proteins on the membrane. In this work, the prediction of sensing and generation behaviour, by these two models, are investigated using analytical calculations as well as Dynamic Triangulation Monte Carlo simulations of quasi-spherical vesicles. While the spontaneous curvature model yields a monotonically decreasing sensing curve as a function of vesicle radius, the…
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