A heuristic derived from analysis of the ion channel structural proteome permits the rapid identification of hydrophobic gates.

Abstract:

:Ion channel proteins control ionic flux across biological membranes through conformational changes in their transmembrane pores. An exponentially increasing number of channel structures captured in different conformational states are now being determined; however, these newly resolved structures are commonly classified as either open or closed based solely on the physical dimensions of their pore, and it is now known that more accurate annotation of their conductive state requires additional assessment of the effect of pore hydrophobicity. A narrow hydrophobic gate region may disfavor liquid-phase water, leading to local dewetting, which will form an energetic barrier to water and ion permeation without steric occlusion of the pore. Here we quantify the combined influence of radius and hydrophobicity on pore dewetting by applying molecular dynamics simulations and machine learning to nearly 200 ion channel structures. This allows us to propose a simple simulation-free heuristic model that rapidly and accurately predicts the presence of hydrophobic gates. This not only enables the functional annotation of new channel structures as soon as they are determined, but also may facilitate the design of novel nanopores controlled by hydrophobic gates.

authors

Rao S,Klesse G,Stansfeld PJ,Tucker SJ,Sansom MSP

doi

10.1073/pnas.1902702116

subject

Has Abstract

pub_date

2019-07-09 00:00:00

pages

13989-13995

issue

28

eissn

0027-8424

issn

1091-6490

pii

1902702116

journal_volume

116

pub_type

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