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The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics

We describe the ‘Structure-Activity Relationship (SAR) Matrix’ (SARM) methodology that is based upon a special two-step application of the matched molecular pair (MMP) formalism. The SARM method has originally been designed for the extraction, organization, and visualization of compound series and a...

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Autores principales: Gupta-Ostermann, Disha, Bajorath, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4215758/
https://www.ncbi.nlm.nih.gov/pubmed/25383183
http://dx.doi.org/10.12688/f1000research.4185.2
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author Gupta-Ostermann, Disha
Bajorath, Jürgen
author_facet Gupta-Ostermann, Disha
Bajorath, Jürgen
author_sort Gupta-Ostermann, Disha
collection PubMed
description We describe the ‘Structure-Activity Relationship (SAR) Matrix’ (SARM) methodology that is based upon a special two-step application of the matched molecular pair (MMP) formalism. The SARM method has originally been designed for the extraction, organization, and visualization of compound series and associated SAR information from compound data sets. It has been further developed and adapted for other applications including compound design, activity prediction, library extension, and the navigation of multi-target activity spaces. The SARM approach and its extensions are presented here in context to introduce different types of applications and provide an example for the evolution of a computational methodology in pharmaceutical research.
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spelling pubmed-42157582014-11-06 The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics Gupta-Ostermann, Disha Bajorath, Jürgen F1000Res Method Article We describe the ‘Structure-Activity Relationship (SAR) Matrix’ (SARM) methodology that is based upon a special two-step application of the matched molecular pair (MMP) formalism. The SARM method has originally been designed for the extraction, organization, and visualization of compound series and associated SAR information from compound data sets. It has been further developed and adapted for other applications including compound design, activity prediction, library extension, and the navigation of multi-target activity spaces. The SARM approach and its extensions are presented here in context to introduce different types of applications and provide an example for the evolution of a computational methodology in pharmaceutical research. F1000Research 2014-06-23 /pmc/articles/PMC4215758/ /pubmed/25383183 http://dx.doi.org/10.12688/f1000research.4185.2 Text en Copyright: © 2014 Gupta-Ostermann D and Bajorath J http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/publicdomain/zero/1.0/ Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
spellingShingle Method Article
Gupta-Ostermann, Disha
Bajorath, Jürgen
The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics
title The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics
title_full The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics
title_fullStr The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics
title_full_unstemmed The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics
title_short The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics
title_sort ‘sar matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4215758/
https://www.ncbi.nlm.nih.gov/pubmed/25383183
http://dx.doi.org/10.12688/f1000research.4185.2
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