ReviewBiochimie2016
Molecular simulations of glycolipids: Towards mammalian cell membrane models.
Review in Biochimie, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Article
- Glycolipid recognition and binding by Siglec-6 hinges on interactions with the cell membrane.Communications biology · 2026Article
- Lipids regulate epidermal growth factor receptor activation by its ligands.Biochemical Society transactions · 2026Review
- Cellular lipids regulate the conformational ensembles of the disordered intracellular loop 3 in β2-adrenergic receptor.iScience · 2024Article
- Tailoring tumor-recognizable hyaluronic acid-lipid conjugates to enhance anticancer efficacies of surface-engineered natural killer cells.Nano convergence · 2023Article
- Cellular Lipids Regulate the Conformational Ensembles of the Disordered Intracellular Loop 3 in β2 Adrenergic Receptor.bioRxiv : the preprint server for biology · 2023Article
- GBA inhibition suppresses ovarian cancer growth, survival and receptor tyrosine kinase AXL-mediated signaling pathways.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2023Article
- Capturing Biologically Complex Tissue-Specific Membranes at Different Levels of Compositional Complexity.The journal of physical chemistry. B · 2020Article
- Computational Nanoscopy of Tight Junctions at the Blood-Brain Barrier Interface.International journal of molecular sciences · 2019Review
- Computational Modeling of Realistic Cell Membranes.Chemical reviews · 2019Review
- Lipid-Protein Interactions Are Unique Fingerprints for Membrane Proteins.ACS central science · 2018Article
- Ganglioside-Lipid and Ganglioside-Protein Interactions Revealed by Coarse-Grained and Atomistic Molecular Dynamics Simulations.The journal of physical chemistry. B · 2017Article
- Computational virology: From the inside out.Biochimica et biophysica acta · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Glycolipids are key components of mammalian cell membranes, influencing a diverse range of cellular functions. For example, a number of receptor tyrosine kinases, including the epidermal growth factor receptor (EGFR), are allosterically regulated by the glycolipid monosialodihexosylganglioside (GM3). Recent advances in molecular dynamics methods, especially the development of coarse-grained models, have enabled simulations of increasingly complex models of cell membranes. We demonstrate these methodological developments via a case study of a coarse-grained model for the ganglioside GM3. This glycolipid is included in simulations of a mixed lipid bilayer model reflecting the compositional complexity of a mammalian cell membrane. The resultant membrane model is used to simulate the interactions of GM3 with the transmembrane domain of the EGFR.
Indexed as
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What OpenQuestion holds
Registered trials
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 OpenQuestion graph.