The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics [v2; ref status: indexed, http://f1000r.es/3rg]
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...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2014-06-01
|
Series: | F1000Research |
Subjects: | |
Online Access: | http://f1000research.com/articles/3-113/v2 |
id |
doaj-cebc11df210a4496b64e0354f88a8380 |
---|---|
record_format |
Article |
spelling |
doaj-cebc11df210a4496b64e0354f88a83802020-11-25T02:59:28ZengF1000 Research LtdF1000Research2046-14022014-06-01310.12688/f1000research.4185.24876The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics [v2; ref status: indexed, http://f1000r.es/3rg]Disha Gupta-Ostermann0Jürgen Bajorath1Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Bonn, D-53113, GermanyDepartment of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Bonn, D-53113, GermanyWe 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.http://f1000research.com/articles/3-113/v2Drug Discovery & DesignMolecular PharmacologyPharmacogenomics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Disha Gupta-Ostermann Jürgen Bajorath |
spellingShingle |
Disha Gupta-Ostermann Jürgen Bajorath The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics [v2; ref status: indexed, http://f1000r.es/3rg] F1000Research Drug Discovery & Design Molecular Pharmacology Pharmacogenomics |
author_facet |
Disha Gupta-Ostermann Jürgen Bajorath |
author_sort |
Disha Gupta-Ostermann |
title |
The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics [v2; ref status: indexed, http://f1000r.es/3rg] |
title_short |
The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics [v2; ref status: indexed, http://f1000r.es/3rg] |
title_full |
The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics [v2; ref status: indexed, http://f1000r.es/3rg] |
title_fullStr |
The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics [v2; ref status: indexed, http://f1000r.es/3rg] |
title_full_unstemmed |
The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics [v2; ref status: indexed, http://f1000r.es/3rg] |
title_sort |
‘sar matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics [v2; ref status: indexed, http://f1000r.es/3rg] |
publisher |
F1000 Research Ltd |
series |
F1000Research |
issn |
2046-1402 |
publishDate |
2014-06-01 |
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. |
topic |
Drug Discovery & Design Molecular Pharmacology Pharmacogenomics |
url |
http://f1000research.com/articles/3-113/v2 |
work_keys_str_mv |
AT dishaguptaostermann thesarmatrixmethodanditsextensionsforapplicationsinmedicinalchemistryandchemogenomicsv2refstatusindexedhttpf1000res3rg AT jurgenbajorath thesarmatrixmethodanditsextensionsforapplicationsinmedicinalchemistryandchemogenomicsv2refstatusindexedhttpf1000res3rg AT dishaguptaostermann sarmatrixmethodanditsextensionsforapplicationsinmedicinalchemistryandchemogenomicsv2refstatusindexedhttpf1000res3rg AT jurgenbajorath sarmatrixmethodanditsextensionsforapplicationsinmedicinalchemistryandchemogenomicsv2refstatusindexedhttpf1000res3rg |
_version_ |
1724702236160819200 |