Evidence map›Paper›PMID 36559081›Full record

ArticlePharmaceutics2022

Kinetics of Drug Release from Clay Using Enhanced Sampling Methods.

Ana Borrego-Sánchez, Jayashrita Debnath, Michele Parrinello

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  3. Review
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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 1 institution in 1 country.

Ana Borrego-SánchezCenter for Human Technologies, Italian Institute of Technology (IIT), Via Enrico Melen 83, 16152 Genoa, Italy.ORCID 0000-0002-2589-9716
Jayashrita DebnathCenter for Human Technologies, Italian Institute of Technology (IIT), Via Enrico Melen 83, 16152 Genoa, Italy.ORCID 0000-0001-5051-4120
Michele ParrinelloCenter for Human Technologies, Italian Institute of Technology (IIT), Via Enrico Melen 83, 16152 Genoa, Italy.
Italian Institute of Technology · IT

Funding

The European Union's Horizon 2020 research and inno-vation programme under the Marie Sklodowska-Curi 895355
6 · The paper itself

Abstract

A key step in the development of a new drug, is the design of drug-excipient complexes that lead to optimal drug release kinetics. Computational chemistry and specifically enhanced sampling molecular dynamics methods can play a key role in this context, by minimizing the need for expensive experiments, and reducing cost and time. Here we show that recent advances in enhanced sampling methodologies can be brought to fruition in this area. We demonstrate the potential of these methodologies by simulating the drug release kinetics of the complex praziquantel-montmorillonite in water. Praziquantel finds promising applications in the treatment of schistosomiasis, but its biopharmaceutical profile needs to be improved, and a cheap material such as the montmorillonite clay would be a very convenient excipient. We simulate the drug release both from surface and interlayer space, and find that the diffusion of the praziquantel inside the interlayer space is the process that limits the rate of drug release.

Indexed as

clay mineralscomputational calculationsdrug releaseenhanced sampling molecular dynamicskineticspraziquantel

Identifiers

PMID36559081
PMCPMC9781022
OpenAlexW4310038321

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.