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Molecular Modeling-Guided Design of Phospholipid-Based Prodrugs

The lipidic prodrug approach is an emerging field for improving a number of biopharmaceutical and drug delivery aspects. Owing to their structure and nature, phospholipid (PL)-based prodrugs may join endogenous lipid processing pathways, and hence significantly improve the pharmacokinetics and/or bi...

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Autores principales: Markovic, Milica, Ben-Shabat, Shimon, Keinan, Shahar, Aponick, Aaron, Zimmermann, Ellen M., Dahan, Arik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538990/
https://www.ncbi.nlm.nih.gov/pubmed/31060339
http://dx.doi.org/10.3390/ijms20092210
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author Markovic, Milica
Ben-Shabat, Shimon
Keinan, Shahar
Aponick, Aaron
Zimmermann, Ellen M.
Dahan, Arik
author_facet Markovic, Milica
Ben-Shabat, Shimon
Keinan, Shahar
Aponick, Aaron
Zimmermann, Ellen M.
Dahan, Arik
author_sort Markovic, Milica
collection PubMed
description The lipidic prodrug approach is an emerging field for improving a number of biopharmaceutical and drug delivery aspects. Owing to their structure and nature, phospholipid (PL)-based prodrugs may join endogenous lipid processing pathways, and hence significantly improve the pharmacokinetics and/or bioavailability of the drug. Additional advantages of this approach include drug targeting by enzyme-triggered drug release, blood–brain barrier permeability, lymphatic targeting, overcoming drug resistance, or enabling appropriate formulation. The PL-prodrug design includes various structural modalities-different conjugation strategies and/or the use of linkers between the PL and the drug moiety, which considerably influence the prodrug characteristics and the consequent effects. In this article, we describe how molecular modeling can guide the structural design of PL-based prodrugs. Computational simulations can predict the extent of phospholipase A(2) (PLA(2))-mediated activation, and facilitate prodrug development. Several computational methods have been used to facilitate the design of the pro-drugs, which will be reviewed here, including molecular docking, the free energy perturbation method, molecular dynamics simulations, and free density functional theory. Altogether, the studies described in this article indicate that computational simulation-guided PL-based prodrug molecular design correlates well with the experimental results, allowing for more mechanistic and less empirical development. In the future, the use of molecular modeling techniques to predict the activity of PL-prodrugs should be used earlier in the development process.
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spelling pubmed-65389902019-06-04 Molecular Modeling-Guided Design of Phospholipid-Based Prodrugs Markovic, Milica Ben-Shabat, Shimon Keinan, Shahar Aponick, Aaron Zimmermann, Ellen M. Dahan, Arik Int J Mol Sci Article The lipidic prodrug approach is an emerging field for improving a number of biopharmaceutical and drug delivery aspects. Owing to their structure and nature, phospholipid (PL)-based prodrugs may join endogenous lipid processing pathways, and hence significantly improve the pharmacokinetics and/or bioavailability of the drug. Additional advantages of this approach include drug targeting by enzyme-triggered drug release, blood–brain barrier permeability, lymphatic targeting, overcoming drug resistance, or enabling appropriate formulation. The PL-prodrug design includes various structural modalities-different conjugation strategies and/or the use of linkers between the PL and the drug moiety, which considerably influence the prodrug characteristics and the consequent effects. In this article, we describe how molecular modeling can guide the structural design of PL-based prodrugs. Computational simulations can predict the extent of phospholipase A(2) (PLA(2))-mediated activation, and facilitate prodrug development. Several computational methods have been used to facilitate the design of the pro-drugs, which will be reviewed here, including molecular docking, the free energy perturbation method, molecular dynamics simulations, and free density functional theory. Altogether, the studies described in this article indicate that computational simulation-guided PL-based prodrug molecular design correlates well with the experimental results, allowing for more mechanistic and less empirical development. In the future, the use of molecular modeling techniques to predict the activity of PL-prodrugs should be used earlier in the development process. MDPI 2019-05-05 /pmc/articles/PMC6538990/ /pubmed/31060339 http://dx.doi.org/10.3390/ijms20092210 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Markovic, Milica
Ben-Shabat, Shimon
Keinan, Shahar
Aponick, Aaron
Zimmermann, Ellen M.
Dahan, Arik
Molecular Modeling-Guided Design of Phospholipid-Based Prodrugs
title Molecular Modeling-Guided Design of Phospholipid-Based Prodrugs
title_full Molecular Modeling-Guided Design of Phospholipid-Based Prodrugs
title_fullStr Molecular Modeling-Guided Design of Phospholipid-Based Prodrugs
title_full_unstemmed Molecular Modeling-Guided Design of Phospholipid-Based Prodrugs
title_short Molecular Modeling-Guided Design of Phospholipid-Based Prodrugs
title_sort molecular modeling-guided design of phospholipid-based prodrugs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538990/
https://www.ncbi.nlm.nih.gov/pubmed/31060339
http://dx.doi.org/10.3390/ijms20092210
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