Evidence map›Paper›PMID 35890357›Full record

ArticlePharmaceutics2022

Computational and Experimental Evaluation of the Stability of a GLP-1-like Peptide in Ethanol-Water Mixtures.

Lok Hin Lui, Raphael Egbu, Thomas Graver, Gareth R Williams, Steve Brocchini, Ajoy Velayudhan

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. 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
0.1field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Ethanol Inhalation as a Method to Denature the Spike Protein of SARS-CoV-2.Advances in experimental medicine and biology · 2024
    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 at 1 institution in 1 country.

Lok Hin LuiUCL School of Pharmacy, University College London, London WC1N 1AX, UK.ORCID 0000-0002-5611-2277
Raphael EgbuUCL School of Pharmacy, University College London, London WC1N 1AX, UK.
Thomas GraverUCL School of Pharmacy, University College London, London WC1N 1AX, UK.
Gareth R WilliamsUCL School of Pharmacy, University College London, London WC1N 1AX, UK.ORCID 0000-0002-3066-2860
Steve BrocchiniUCL School of Pharmacy, University College London, London WC1N 1AX, UK.
Ajoy VelayudhanDepartment of Biochemical Engineering, University College London, London WC1E 6BT, UK.
University College London · GB

Funding

Engineering and Physical Sciences Research Council EP/L01646X/1
6 · The paper itself

Abstract

Aggregation resulting from the self-association of peptide molecules remains a major challenge during preformulation. Whereas certain organic solvents are known to promote aggregation, ethanol (EtOH) is capable of disrupting interactions between peptide molecules. It is unclear whether it is beneficial or counterproductive to include EtOH in formulations of short peptides. Here, we employed molecular dynamics simulations using the DAFT protocol and MARTINI force field to predict the formation of self-associated dimers and to estimate the stability of a GLP-1-like peptide (G48) in 0-80% aqueous EtOH solutions. Both simulation and experimental data reveal that EtOH leads to a remarkable increase in the conformational stability of the peptide when stored over 15 days at 27 °C. In the absence of EtOH, dimerisation and subsequent loss in conformational stability (α-helix → random coil) were observed. EtOH improved conformational stability by reducing peptide-peptide interactions. The data suggest that a more nuanced approach may be applied in formulation decision making and, if the native state of the peptide is an α-helix organic solvent, such as EtOH, may enhance stability and improve prospects of long-term storage.

Indexed as

dimer formationethanolGLP-1 agonistmolecular dynamicspeptideprotein–protein interactionsstability

Identifiers

PMID35890357
PMCPMC9321252
OpenAlexW4285596295

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.