ArticleThe journal of physical chemistry. B2019
Understanding Membrane Domain-Partitioning Thermodynamics of Transmembrane Domains with Potential of Mean Force Calculations.
Article in The journal of physical chemistry. B, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- System size effects on the free energy landscapes from molecular dynamics of phase-separating bilayers.The Journal of chemical physics · 2024Article
- Understanding the free-energy landscape of phase separation in lipid bilayers using molecular dynamics.Biophysical journal · 2023Article
- Understanding the Free Energy Landscape of Phase Separation in Lipid Bilayers using Molecular Dynamics.bioRxiv : the preprint server for biology · 2023Article
- Efficient calculation of the free energy for protein partitioning using restraining potentials.Biophysical journal · 2023Article
- Sterols are required for the coordinated assembly of lipid droplets in developing seeds.Nature communications · 2021Article
- Localization Preference of Antimicrobial Peptides on Liquid-Disordered Membrane Domains.Frontiers in cell and developmental biology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The transmembrane domain (TMD) of membrane proteins plays an essential role in their dynamics and functions. Certain properties of TMDs, such as raft affinity and orientation, have been studied extensively both experimentally and computationally. However, the extent to which specific physicochemical properties of TMDs determine their membrane domain-partitioning thermodynamics is still far from clear. In this work, we propose an approach based on umbrella sampling molecular dynamics simulations of model membranes and idealized TMDs to quantify the effect of TMD physicochemical properties, namely, length, degree of hydrophobicity, and size of TMDs, on their membrane domain-partitioning thermodynamics. The results, which are fully consistent with previous experimental and simulation data, indicate that the concept of "hydrophobic mismatch" should go beyond differences in hydrophobic thickness to include mismatch in the degree of hydrophobicity between the TMD and the surrounding hydrocarbon lipid chains. Our method provides quantitative insights into the role of specific physicochemical features of TMDs in membrane localization and orientation, which will be broadly useful for predicting the raft affinity and membrane partitioning of any transmembrane protein.
Indexed as
Identifiers
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.