Evidence map›Paper›PMID 33745026›Full record

ArticleJournal of molecular modeling2021

Investigation on drug entrapment location in liposomes and transfersomes based on molecular dynamics simulation.

Xiaowen Wu, Xingxing Dai, Yuyao Liao, Mengke Sheng, Xinyuan Shi

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

5 authors.

Xiaowen Wu *School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.
Xingxing Dai *School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.
Yuyao LiaoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.
Mengke ShengSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.
Xinyuan ShiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China. shixinyuan01@163.com.

Funding

Natural Science Foundation of Beijing Municipality Grant No.7162122Young Teachers Program of Beijing University of Chinese Medicine Grant 2019-JYB-JS-016
6 · The paper itself

Abstract

In this study, liposome and transfersome were successfully constructed using molecular dynamics simulation. Three drugs with different polarity, including 5-fluorouracil, ligustrazine, and osthole, were selected as model drugs to study the distribution of drugs in lipid vesicles by calculating the radial distribution function and the potential of mean force. The solubility parameters between drugs and different regions in lipid vesicles were calculated to characterize the compatibility of drugs in different regions in lipid vesicles, which provided the basis for the conclusion of this paper. It showed that the radial distribution function and the potential of mean force were consistent in the characterization of drug distribution in vesicles, and the drug distribution in vesicles was closely related to the compatibility between drugs and vesicles. Therefore, the radial distribution function and the potential of mean force can be used to characterize the distribution of drugs in vesicles, and molecular simulation technology has a great potential in studying the characteristics of vesicles. Graphical abstract.

Indexed as

Molecular Dynamics SimulationCoumarinsDrug CarriersFluorouracilLiposomesPyrazinesSolubilityCoumarinsDrug CarriersFluorouracilLiposomesostholPyrazinestetramethylpyrazineEntrapment locationLipid vesicleLiposomeMolecular dynamics simulationTransfersome

Identifiers

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.