Evidence map›Paper›PMID 42156701›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Multiscale Simulation Approaches to Probe Lipid Interactions of G Protein-Coupled Receptors.

Durba Sengupta, Shalmali Kharche, Aditya Manoj, Amit Naglekar, Amitabha Chattopadhyay

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Durba SenguptaCSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune, 411 008, India. d.sengupta@ncl.res.in.
Shalmali KharcheCSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune, 411 008, India.
Aditya ManojCSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune, 411 008, India.
Amit NaglekarCSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune, 411 008, India.
Amitabha ChattopadhyayAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, India. amit@ccmb.res.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) are vital cellular signaling machinery that are dependent on the membrane environment in which they reside. For instance, cholesterol has been reported to be critical for different aspects of GPCR function, such as ligand binding, G-protein coupling, receptor stability, organization, and dynamics. Multiscale simulation approaches have helped complement experimental approaches in probing the interplay of GPCRs with their surrounding lipids. The large complexity and diversity of membrane lipids, coupled with their stochastic interactions spanning multiple timescales, necessitate the use of such a multi-pronged approach. In this chapter, we discuss the considerations needed to set up atomistic and coarse-grain simulations, and the related analysis methods to extract robust and meaningful values of receptor-lipid interactions. We discuss crucial aspects of the simulation setup, including selecting appropriate lipid compositions. We then explore both qualitative and quantitative approaches for analyzing GPCR-lipid interactions, ranging from occupancy values and enrichment indices to free energy calculations and residence time analyses. In addition, we highlight approaches to identify synergistic co-binding, as well as competitive binding of lipids to GPCRs, a phenomenon that is often neglected in model membrane studies. This comprehensive overview will help researchers to perform robust and informative simulations to elucidate the intricate interplay between GPCRs and their surrounding lipid bilayer.

Indexed as

Membrane LipidsMolecular Dynamics SimulationReceptors, G-Protein-CoupledHumansLigandsLipid BilayersProtein BindingThermodynamicsLigandsLipid BilayersMembrane LipidsReceptors, G-Protein-CoupledAtomistic simulationsCoarse-grain simulationsDepletion-enrichment indexEnhanced sampling approachGPCR-cholesterol interactionGPCR-lipid effectsGRCR-lipid energeticsMaximum occupancyMultiscale simulationsResidence time

Identifiers

PMID42156701

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.