Insight into the mechanism of D-glucose accelerated exchange in GLUT1 from molecular dynamics simulations

Carmen Domene, Brian Wiley, Saul Gonzalez Resines, Richard J Naftalin

Research output: Contribution to journalArticlepeer-review

Abstract

Transmembrane glucose transport, facilitated by glucose transporters (GLUTs), is commonly understood through the simple mobile carrier model (SMCM), which suggests that the central binding site alternates exposure between the inside and outside of the cell, facilitating glucose exchange. An alternative “multisite model” posits that glucose transport is a stochastic diffusion process between ligand-operated gates within the transporter’s central channel. This study aims to test these models by conducting atomistic molecular dynamics simulations of multiple glucose molecules docked along the central cleft of GLUT1 at temperatures both above and below the lipid bilayer melting point. Our results show that glucose exchanges occur on a nanosecond time-scale as glucopyranose rings slide past each other within the channel cavities, with minimal protein conformational movement. While bilayer gelation slows net glucose transit, the frequency of positional exchanges remains consistent across both temperatures. This supports the observation that glucose exchange at 0 °C is much faster than net flux, aligning with experimental data that show approximately 100 times the rate of exchange flux relative to net flux at 0 °C compared to 37 °C.
Original languageEnglish
Pages (from-to)928-939
Number of pages12
JournalBiochemistry
Volume64
Issue number4
Early online date28 Jan 2025
DOIs
Publication statusPublished - 18 Feb 2025

Bibliographical note

Publisher Copyright:
© 2025 The Authors. Published by American Chemical Society.

Funding

We acknowledge PRACE for awarding access to computational resources at CSCS, the Swiss National Supercomputing Service, in the 17th and 21st Project Access Calls. This project also made use of time on HPC platforms granted via the UK High-End Computing Consortium for Biomolecular Simulation, HECBioSim (http://hecbiosim.ac.uk), supported by EPSRC (grant no. EP/R029407/1). B.W. was supported by U.K. Research and Innovation (UKRI), grant reference number EP/S023437/1. For the purpose of open access, B.W. has applied a Creative Commons Attribution (CC-BY) license to any Author Accepted Manuscript version arising.

FundersFunder number
Swiss National Supercomputing Service
Partnership for Advanced Computing in Europe AISBL
Engineering and Physical Sciences Research CouncilEP/R029407/1
UK Research & InnovationEP/S023437/1

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