Evidence map›Paper›PMID 34302676›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

In Silico Prediction of the Binding, Folding, Insertion, and Overall Stability of Membrane-Active Peptides.

Nicolas Frazee, Violeta Burns, Chitrak Gupta, Blake Mertz

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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 3 institutions in 1 country.

Nicolas FrazeeC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Violeta BurnsC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Chitrak GuptaThe School of Molecular Sciences, Arizona State University, Tempe, AZ, USA.
Blake MertzC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA. blake.mertz@mail.wvu.edu.
West Virginia University · USArizona State University · USWest Virginia State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane-active peptides (MAPs) are short-length peptides used for potential biomedical applications in diagnostic imaging of tissues, targeted drug delivery, gene delivery, and antimicrobials and antibiotics. The broad appeal of MAPs is that they are infinitely variable, relatively low cost, and biocompatible. However, experimentally characterizing the specific properties of a MAP or its many variants is a low-resolution and potentially time-consuming endeavor; molecular dynamics (MD) simulations have emerged as an invaluable tool in identifying the biophysical interactions that are fundamental to the function of MAPs. In this chapter, a step-by-step approach to discreetly model the binding, folding, and insertion of a membrane-active peptide to a model lipid bilayer using MD simulations is described. Detailed discussion is devoted to the critical aspects of running these types of simulations: prior knowledge of the system, understanding the strengths and weaknesses of molecular mechanics force fields, proper construction and equilibration of the system, realistically estimating both experimental and computational timescales, and leveraging analysis to make direct comparisons to experimental results as often as possible.

Indexed as

Cell MembraneComputer SimulationLipid BilayersMolecular Dynamics SimulationPeptidesProtein BindingProtein FoldingLipid BilayersPeptidesForce fieldLipid bilayerMembrane-active peptides (MAPs)Molecular dynamics (MD) simulationPartitioning–folding couplingTime-step

Identifiers

PMID34302676
OpenAlexW3183739824

What Socratic 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 Socratic graph.