ArticleScientific reports2015
Anomalous Dynamics of a Lipid Recognition Protein on a Membrane Surface.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 41 citations in OpenAlex.
- Rescaling protein-protein interactions improves Martini 3 for flexible proteins in solution.Nature communications · 2024Article
- PIPBiophysical journal · 2021Article
- The energetics of protein-lipid interactions as viewed by molecular simulations.Biochemical Society transactions · 2020Review
- Multiple lipid binding sites determine the affinity of PH domains for phosphoinositide-containing membranes.Science advances · 2020Article
- Understanding biochemical processes in the presence of sub-diffusive behavior of biomolecules in solution and living cells.Biophysical reviews · 2019Review
- Characterization of Lipid-Protein Interactions and Lipid-Mediated Modulation of Membrane Protein Function through Molecular Simulation.Chemical reviews · 2019Review
- Multiscale Simulations of Biological Membranes: The Challenge To Understand Biological Phenomena in a Living Substance.Chemical reviews · 2019Article
- Structure and lipid-binding properties of the kindlin-3 pleckstrin homology domain.The Biochemical journal · 2017Article
- Dynamic interactions between a membrane binding protein and lipids induce fluctuating diffusivity.Science advances · 2017Article
- Computational and theoretical approaches for studies of a lipid recognition protein on biological membranes.Biophysics and physicobiology · 2017Review
- Random walk with chaotically driven bias.Scientific reports · 2016Article
- Interactions of Pleckstrin Homology Domains with Membranes: Adding Back the Bilayer via High-Throughput Molecular Dynamics.Structure (London, England : 1993) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pleckstrin homology (PH) domains are lipid-binding modules present in peripheral membrane proteins which interact with phosphatidyl-inositol phosphates (PIPs) in cell membranes. We use multiscale molecular dynamics simulations to characterize the localization and anomalous dynamics of the DAPP1 PH domain on the surface of a PIP-containing lipid bilayer. Both translational and rotational diffusion of the PH domain on the lipid membrane surface exhibit transient subdiffusion, with an exponent α ≈ 0.5 for times of less than 10 ns. In addition to a PIP3 molecule at the canonical binding site of the PH domain, we observe additional PIP molecules in contact with the protein. Fluctuations in the number of PIPs associated with the PH domain exhibit 1/f noise. We suggest that the anomalous diffusion and long-term correlated interaction of the PH domain with the membrane may contribute to an enhanced probability of encounter with target complexes on cell membrane surfaces.
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.