Literature DB >> 33950296

Computational studies on binding, solvent, and pH effects on (S)-propranolol and methacrylic acid complex.

Julia Saloni1, Shaurya Swami2, Karina Kapusta2, Glake A Hill2.   

Abstract

Density functional theory methods have been applied to understand binding of (s)-propranolol, a template, to a methacrylic acid molecule acting as a functional monomer using basic 1:1 model. The model has been expanded to study the effect of various pH by adding hydronium and hydroxide ions solvated by water molecules to the template-monomer system, to mimic acidic and basic environments, respectively. This could be considered a model study towards a potential use of molecular imprinting method for the design of a transdermal patch for a topical and direct delivery of (s)-propranolol to hemangiomas. In addition, this study provides detailed binding site analysis of the template and functional monomer verified by the theoretical IR spectra analysis, as well as solvent and pH effects on template-monomer binding energy.

Entities:  

Keywords:  IR spectra; MAA; Molecularly imprinted polymers; S-propranolol; Solvent study; pH

Year:  2021        PMID: 33950296     DOI: 10.1007/s00894-021-04765-6

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  6 in total

Review 1.  Bioapplications for molecularly imprinted polymers.

Authors:  Romana Schirhagl
Journal:  Anal Chem       Date:  2013-08-27       Impact factor: 6.986

2.  Uniform-sized molecularly imprinted polymer material for (S)-propranolol.

Authors:  J Haginaka; Y Sakai
Journal:  J Pharm Biomed Anal       Date:  2000-07       Impact factor: 3.935

3.  Transdermal delivery of propranolol hydrochloride through chitosan nanoparticles dispersed in mucoadhesive gel.

Authors:  Raida Al-Kassas; Jingyuan Wen; Angel En-Miao Cheng; Amy Moon-Jung Kim; Stephanie Sze Mei Liu; Joohee Yu
Journal:  Carbohydr Polym       Date:  2016-06-25       Impact factor: 9.381

4.  Formulation study of a patch containing propranolol by design of experiments.

Authors:  Francesco Cilurzo; Paola Minghetti; Chiara G M Gennari; Antonella Casiraghi; Francesca Selmin; Luisa Montanari
Journal:  Drug Dev Ind Pharm       Date:  2013-01-10       Impact factor: 3.225

5.  Molecularly Imprinted Polymers.

Authors:  Joseph J BelBruno
Journal:  Chem Rev       Date:  2018-09-24       Impact factor: 60.622

6.  Propranolol: A 50-Year Historical Perspective.

Authors:  A V Srinivasan
Journal:  Ann Indian Acad Neurol       Date:  2019 Jan-Mar       Impact factor: 1.383

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.