Evidence map›Paper›PMID 21107546›Full record

ReviewThe Journal of membrane biology2011

Determining peptide partitioning properties via computer simulation.

Jakob P Ulmschneider, Magnus Andersson, Martin B Ulmschneider

Open access · hybridAbstract readReview
In one paragraph

Review in The Journal of membrane biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

13 citing papers in PubMed, 25 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Jakob P UlmschneiderIWR, University of Heidelberg, Heidelberg, Germany. jakob@ulmschneider.com
Magnus Andersson
Martin B Ulmschneider
University of California, Irvine · USHeidelberg University · DE

Funding

Project 3: Structural Studies of Voltage-Gated Potassium Channels as FunctionP01GM086685 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI WORCESTER, DAVID · 2009 to 2013
$6.7M
Molecular Genetics of Drosophila Hybrid LethalityR01GM074737 · NIGMS · CORNELL UNIVERSITY ITHACA · PI BARBASH, DANIEL A · 2005 to 2022
$4.7M
NIGMS NIH HHS P01 GM086685NIGMS NIH HHS P01 GM86685NIGMS NIH HHS R01 GM074737NIGMS NIH HHS R01 GM74737
6 · The paper itself

Abstract

The transfer of polypeptide segments into lipid bilayers to form transmembrane helices represents the crucial first step in cellular membrane protein folding and assembly. This process is driven by complex and poorly understood atomic interactions of peptides with the lipid bilayer environment. The lack of suitable experimental techniques that can resolve these processes both at atomic resolution and nanosecond timescales has spurred the development of computational techniques. In this review, we summarize the significant progress achieved in the last few years in elucidating the partitioning of peptides into lipid bilayer membranes using atomic detail molecular dynamics simulations. Indeed, partitioning simulations can now provide a wealth of structural and dynamic information. Furthermore, we show that peptide-induced bilayer distortions, insertion pathways, transfer free energies, and kinetic insertion barriers are now accurate enough to complement experiments. Further advances in simulation methods and force field parameter accuracy promise to turn molecular dynamics simulations into a powerful tool for investigating a wide range of membrane active peptide phenomena.

Indexed as

Computer SimulationModels, MolecularKineticsLipid BilayersPeptidesProtein FoldingThermodynamicsLipid BilayersPeptides

Identifiers

PMID21107546
PMCPMC3030940
OpenAlexW2037919694

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.