Back to Search Start Over

LipIDens: simulation assisted interpretation of lipid densities in cryo-EM structures of membrane proteins.

Authors :
Ansell TB
Song W
Coupland CE
Carrique L
Corey RA
Duncan AL
Cassidy CK
Geurts MMG
Rasmussen T
Ward AB
Siebold C
Stansfeld PJ
Sansom MSP
Source :
Nature communications [Nat Commun] 2023 Nov 27; Vol. 14 (1), pp. 7774. Date of Electronic Publication: 2023 Nov 27.
Publication Year :
2023

Abstract

Cryo-electron microscopy (cryo-EM) enables the determination of membrane protein structures in native-like environments. Characterising how membrane proteins interact with the surrounding membrane lipid environment is assisted by resolution of lipid-like densities visible in cryo-EM maps. Nevertheless, establishing the molecular identity of putative lipid and/or detergent densities remains challenging. Here we present LipIDens, a pipeline for molecular dynamics (MD) simulation-assisted interpretation of lipid and lipid-like densities in cryo-EM structures. The pipeline integrates the implementation and analysis of multi-scale MD simulations for identification, ranking and refinement of lipid binding poses which superpose onto cryo-EM map densities. Thus, LipIDens enables direct integration of experimental and computational structural approaches to facilitate the interpretation of lipid-like cryo-EM densities and to reveal the molecular identities of protein-lipid interactions within a bilayer environment. We demonstrate this by application of our open-source LipIDens code to ten diverse membrane protein structures which exhibit lipid-like densities.<br /> (© 2023. The Author(s).)

Details

Language :
English
ISSN :
2041-1723
Volume :
14
Issue :
1
Database :
MEDLINE
Journal :
Nature communications
Publication Type :
Academic Journal
Accession number :
38012131
Full Text :
https://doi.org/10.1038/s41467-023-43392-y