ArticleJournal of chemical theory and computation2014
Sidekick for Membrane Simulations: Automated Ensemble Molecular Dynamics Simulations of Transmembrane Helices.
Article in Journal of chemical theory and computation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Understanding large scale sequencing datasets through changes to protein folding.Briefings in functional genomics · 2024Review
- KCNQ potassium channels modulate Wnt activity in gastro-oesophageal adenocarcinomas.Life science alliance · 2023Article
- Coarse Grained Molecular Dynamic Simulations for the Study of TNF Receptor Family Members' Transmembrane Organization.Frontiers in cell and developmental biology · 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
- High-Throughput Simulations Reveal Membrane-Mediated Effects of Alcohols on MscL Gating.Journal of the American Chemical Society · 2017Article
- Molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale.Current opinion in structural biology · 2016Review
- Lipid interaction sites on channels, transporters and receptors: Recent insights from molecular dynamics simulations.Biochimica et biophysica acta · 2016Review
- Multiscale Simulations Suggest a Mechanism for the Association of the Dok7 PH Domain with PIP-Containing Membranes.PLoS computational biology · 2016Article
- Interactions of the EGFR juxtamembrane domain with PIP2-containing lipid bilayers: Insights from multiscale molecular dynamics simulations.Biochimica et biophysica acta · 2015Article
- Dimerization of the EphA1 receptor tyrosine kinase transmembrane domain: Insights into the mechanism of receptor activation.Biochemistry · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The interactions of transmembrane (TM) α-helices with the phospholipid membrane and with one another are central to understanding the structure and stability of integral membrane proteins. These interactions may be analyzed via coarse grained molecular dynamics (CGMD) simulations. To obtain statistically meaningful analysis of TM helix interactions, large (N ca. 100) ensembles of CGMD simulations are needed. To facilitate the running and analysis of such ensembles of simulations, we have developed Sidekick, an automated pipeline software for performing high throughput CGMD simulations of α-helical peptides in lipid bilayer membranes. Through an end-to-end approach, which takes as input a helix sequence and outputs analytical metrics derived from CGMD simulations, we are able to predict the orientation and likelihood of insertion into a lipid bilayer of a given helix of a family of helix sequences. We illustrate this software via analyses of insertion into a membrane of short hydrophobic TM helices containing a single cationic arginine residue positioned at different positions along the length of the helix. From analyses of these ensembles of simulations, we estimate apparent energy barriers to insertion which are comparable to experimentally determined values. In a second application, we use CGMD simulations to examine the self-assembly of dimers of TM helices from the ErbB1 receptor tyrosine kinase and analyze the numbers of simulation repeats necessary to obtain convergence of simple descriptors of the mode of packing of the two helices within a dimer. Our approach offers a proof-of-principle platform for the further employment of automation in large ensemble CGMD simulations of membrane proteins.
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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.