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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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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. |
format | Online Article Text |
id | pubmed-7979990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT temmlveronika structurebasedmolecularmodelinginsaranalysisandleadoptimization AT kutilzsofia structurebasedmolecularmodelinginsaranalysisandleadoptimization |