Literature DB >> 36062215

Formulation and in-silico study of meclizine ointment as anti-eczema.

Wafa M Al-Madhagi1,2,3, Abdulkarim K Y Alzomor2,4, Nor Hisam Zamakshshari5, Maria A Mubarak3.   

Abstract

Meclizine is antihistamine and is used in combination with pyridoxine to treat motion sickness. The in-silico study of meclizine prediction studied showed that meclizine has anti-eczema activity with possible activity 95. This research aimed to explore the anti-eczema activity of meclizine. Therefore, five formulations of meclizine ointment have been prepared using different bases (white base, simple ointment base, hydrophilic petrolatum base, hydrophilic, and emulsifying ointment bases). The efficiency of meclizine ointment has been evaluated by testing the physical compatibility and stability, homogeneity and irritant effect, absorbance and spreadability, chemical identification, calibration curve, drug content (assay), and dissolution test. This is followed by evaluating the ointment's effectiveness on volunteers and molecular docking. Five creams trials have been prepared, and two formulas (F3, and F5) have been selected for further evaluation. The formulas three and five (F3, F5) have passed the physical and chemical tests and showed compatibility, homogenous, absorbed, non-irritant, and stable with calibration curve (R = 0.9999). Then, the F3 formula was selected by testing them on seven volunteers after evaluating the irritant test. Four of the volunteers showed excellent recovery, and three of the volunteers suffered from uncomforting feelings and the formation of new pills. Therefore, F5 has been tested by eight volunteers that contain high oleaginous activity; five showed an excellent recovery, while three of the volunteers showed no difference. According to that, F5 is more efficient for eczema patients than F3, and Meclizine showed promising activity as an anti-eczema that requires further evaluation in the future.
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Entities:  

Keywords:  Eczema; Meclizine; Molecular docking; Ointment; PASS

Year:  2022        PMID: 36062215      PMCID: PMC9428099          DOI: 10.1007/s40203-022-00129-x

Source DB:  PubMed          Journal:  In Silico Pharmacol        ISSN: 2193-9616


  5 in total

1.  PASS: prediction of activity spectra for biologically active substances.

Authors:  A Lagunin; A Stepanchikova; D Filimonov; V Poroikov
Journal:  Bioinformatics       Date:  2000-08       Impact factor: 6.937

2.  Design, synthesis, computational and biological evaluation of new anxiolytics.

Authors:  Athina Geronikaki; Eugeni Babaev; John Dearden; Wim Dehaen; Dmitrii Filimonov; Irina Galaeva; Valentina Krajneva; Alexey Lagunin; Fliur Macaev; Guenadiy Molodavkin; Vladimir Poroikov; Serghei Pogrebnoi; Victor Saloutin; Alla Stepanchikova; Eugenia Stingaci; Natalia Tkach; Liudmila Vlad; Tatiana Voronina
Journal:  Bioorg Med Chem       Date:  2004-12-15       Impact factor: 3.641

3.  AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

Authors:  Oleg Trott; Arthur J Olson
Journal:  J Comput Chem       Date:  2010-01-30       Impact factor: 3.376

4.  Docking of noncompetitive inhibitors into dengue virus type 2 protease: understanding the interactions with allosteric binding sites.

Authors:  Rozana Othman; Tan Siew Kiat; Norzulaani Khalid; Rohana Yusof; E Irene Newhouse; James S Newhouse; Masqudul Alam; Noorsaadah Abdul Rahman
Journal:  J Chem Inf Model       Date:  2008-07-26       Impact factor: 4.956

5.  sc-PDB: a 3D-database of ligandable binding sites--10 years on.

Authors:  Jérémy Desaphy; Guillaume Bret; Didier Rognan; Esther Kellenberger
Journal:  Nucleic Acids Res       Date:  2014-10-09       Impact factor: 19.160

  5 in total

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