Evidence map›Paper›PMID 24896117›Full record

ArticleBiophysical journal2014

3D hydrophobic moment vectors as a tool to characterize the surface polarity of amphiphilic peptides.

Sabine Reißer, Erik Strandberg, Thomas Steinbrecher, Anne S Ulrich

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

43 citing papers in PubMed, 82 citations in OpenAlex.

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  14. The Amphipathic Helix in Visual Cycle Proteins: A Review.Advances in experimental medicine and biology · 2023
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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

4 authors at 1 institution in 1 country.

Sabine ReißerInstitute of Biological Interfaces II, Karlsruhe Institute of Technology, Karlsruhe, Germany; Institute of Physical Chemistry, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Erik StrandbergInstitute of Biological Interfaces II, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Thomas SteinbrecherInstitute of Physical Chemistry, Karlsruhe Institute of Technology, Karlsruhe, Germany. Electronic address: thomas.steinbrecher@kit.edu.
Anne S UlrichInstitute of Biological Interfaces II, Karlsruhe Institute of Technology, Karlsruhe, Germany; Institute of Organic Chemistry, Karlsruhe Institute of Technology, Karlsruhe, Germany. Electronic address: anne.ulrich@kit.edu.
Karlsruhe Institute of Technology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interaction of membranes with peptides and proteins is largely determined by their amphiphilic character. Hydrophobic moments of helical segments are commonly derived from their two-dimensional helical wheel projections, and the same is true for β-sheets. However, to the best of our knowledge, there exists no method to describe structures in three dimensions or molecules with irregular shape. Here, we define the hydrophobic moment of a molecule as a vector in three dimensions by evaluating the surface distribution of all hydrophilic and lipophilic regions over any given shape. The electrostatic potential on the molecular surface is calculated based on the atomic point charges. The resulting hydrophobic moment vector is specific for the instantaneous conformation, and it takes into account all structural characteristics of the molecule, e.g., partial unfolding, bending, and side-chain torsion angles. Extended all-atom molecular dynamics simulations are then used to calculate the equilibrium hydrophobic moments for two antimicrobial peptides, gramicidin S and PGLa, under different conditions. We show that their effective hydrophobic moment vectors reflect the distribution of polar and nonpolar patches on the molecular surface and the calculated electrostatic surface potential. A comparison of simulations in solution and in lipid membranes shows how the peptides undergo internal conformational rearrangement upon binding to the bilayer surface. A good correlation with solid-state NMR data indicates that the hydrophobic moment vector can be used to predict the membrane binding geometry of peptides. This method is available as a web application on http://www.ibg.kit.edu/HM/.

Indexed as

AlgorithmsMolecular Dynamics SimulationAmino Acid SequenceAntimicrobial Cationic PeptidesGramicidinHydrophobic and Hydrophilic InteractionsLipid BilayersMolecular Sequence DataPeptidesProtein BindingStatic ElectricityAntimicrobial Cationic PeptidesGramicidinLipid Bilayerspeptide-Gly-Leu-amidePeptides

Identifiers

PMID24896117
PMCPMC4052240
OpenAlexW2029882655

What OpenQuestion holds

Textmetadata
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.