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Structure-based molecular modeling in SAR analysis and lead optimization

In silico methods like molecular docking and pharmacophore modeling are established strategies in lead identification. Their successful application for finding new active molecules for a target is reported by a plethora of studies. However, once a potential lead is identified, lead optimization, wit...

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Detalles Bibliográficos
Autores principales: Temml, Veronika, Kutil, Zsofia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979990/
https://www.ncbi.nlm.nih.gov/pubmed/33777339
http://dx.doi.org/10.1016/j.csbj.2021.02.018
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author Temml, Veronika
Kutil, Zsofia
author_facet Temml, Veronika
Kutil, Zsofia
author_sort Temml, Veronika
collection PubMed
description In silico methods like molecular docking and pharmacophore modeling are established strategies in lead identification. Their successful application for finding new active molecules for a target is reported by a plethora of studies. However, once a potential lead is identified, lead optimization, with the focus on improving potency, selectivity, or pharmacokinetic parameters of a parent compound, is a much more complex task. Even though in silico molecular modeling methods could contribute a lot of time and cost-saving by rationally filtering synthetic optimization options, they are employed less widely in this stage of research. In this review, we highlight studies that have successfully used computer-aided SAR analysis in lead optimization and want to showcase sound methodology and easily accessible in silico tools for this purpose.
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spelling pubmed-79799902021-03-25 Structure-based molecular modeling in SAR analysis and lead optimization Temml, Veronika Kutil, Zsofia Comput Struct Biotechnol J Review In silico methods like molecular docking and pharmacophore modeling are established strategies in lead identification. Their successful application for finding new active molecules for a target is reported by a plethora of studies. However, once a potential lead is identified, lead optimization, with the focus on improving potency, selectivity, or pharmacokinetic parameters of a parent compound, is a much more complex task. Even though in silico molecular modeling methods could contribute a lot of time and cost-saving by rationally filtering synthetic optimization options, they are employed less widely in this stage of research. In this review, we highlight studies that have successfully used computer-aided SAR analysis in lead optimization and want to showcase sound methodology and easily accessible in silico tools for this purpose. Research Network of Computational and Structural Biotechnology 2021-03-04 /pmc/articles/PMC7979990/ /pubmed/33777339 http://dx.doi.org/10.1016/j.csbj.2021.02.018 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Temml, Veronika
Kutil, Zsofia
Structure-based molecular modeling in SAR analysis and lead optimization
title Structure-based molecular modeling in SAR analysis and lead optimization
title_full Structure-based molecular modeling in SAR analysis and lead optimization
title_fullStr Structure-based molecular modeling in SAR analysis and lead optimization
title_full_unstemmed Structure-based molecular modeling in SAR analysis and lead optimization
title_short Structure-based molecular modeling in SAR analysis and lead optimization
title_sort structure-based molecular modeling in sar analysis and lead optimization
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979990/
https://www.ncbi.nlm.nih.gov/pubmed/33777339
http://dx.doi.org/10.1016/j.csbj.2021.02.018
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