Evidence map›Paper›PMID 25637891›Full record

ArticleBiophysical chemistry2015

Characterization of 3D Voronoi tessellation nearest neighbor lipid shells provides atomistic lipid disruption profile of protein containing lipid membranes.

Sara Y Cheng, Hai V Duong, Campbell Compton, Mark W Vaughn, Hoa Nguyen, Kwan H Cheng

Abstract read
In one paragraph

Article in Biophysical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Sara Y ChengDepartment of Physics, University of Texas at Austin, Austin, TX 78712, USA. Electronic address: sara.y.cheng@utexas.edu.
Hai V DuongDepartment of Computer Science, Trinity University, San Antonio, TX 79212, USA.
Campbell ComptonDepartment of Computer Science, Trinity University, San Antonio, TX 79212, USA.
Mark W VaughnDepartment of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA.
Hoa NguyenDepartment of Mathematics, Trinity University, San Antonio, TX 78212, USA. Electronic address: hnguyen5@trinity.edu.
Kwan H ChengDepartment of Physics and Astronomy, Trinity University, San Antonio, TX 78212, USA; Department of Physics, Texas Tech University, Lubbock, TX 79409, USA. Electronic address: biophysics.ttu@gmail.com.

Funding

An Assessment of Multimodal Physics Lab Intervention Efficacy in STEM EducationRC1GM090897 · NIGMS · TEXAS TECH UNIVERSITY · PI CHENG, KWAN H KELVIN, THACKER, BETH · 2009 to 2010
$810k
NIGMS NIH HHS GM090897-02NIGMS NIH HHS RC1 GM090897
6 · The paper itself

Abstract

Quantifying protein-induced lipid disruptions at the atomistic level is a challenging problem in membrane biophysics. Here we propose a novel 3D Voronoi tessellation nearest-atom-neighbor shell method to classify and characterize lipid domains into discrete concentric lipid shells surrounding membrane proteins in structurally heterogeneous lipid membranes. This method needs only the coordinates of the system and is independent of force fields and simulation conditions. As a proof-of-principle, we use this multiple lipid shell method to analyze the lipid disruption profiles of three simulated membrane systems: phosphatidylcholine, phosphatidylcholine/cholesterol, and beta-amyloid/phosphatidylcholine/cholesterol. We observed different atomic volume disruption mechanisms due to cholesterol and beta-amyloid. Additionally, several lipid fractional groups and lipid-interfacial water did not converge to their control values with increasing distance or shell order from the protein. This volume divergent behavior was confirmed by bilayer thickness and chain orientational order calculations. Our method can also be used to analyze high-resolution structural experimental data.

Indexed as

Amino Acid SequenceAmyloid beta-PeptidesLipid BilayersMolecular Dynamics SimulationMolecular Sequence DataPhospholipidsAmyloid beta-PeptidesLipid BilayersPhospholipidsAnnular lipidCholesterolLipid domainLipid/protein interactionVoro++

Identifiers

PMID25637891
PMCPMC4339443

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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 OpenQuestion graph.