DMSO Solubility Assessment for Fragment-Based Screening
In this paper, we report comprehensive experimental and chemoinformatics analyses of the solubility of small organic molecules (“fragments”) in dimethyl sulfoxide (DMSO) in the context of their ability to be tested in screening experiments. Here, DMSO solubility of 939 fragments has been measured ex...
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doaj-d4efb96a2a7946e986453cb49f8ec3992021-07-15T15:42:31ZengMDPI AGMolecules1420-30492021-06-01263950395010.3390/molecules26133950DMSO Solubility Assessment for Fragment-Based ScreeningShamkhal Baybekov0Gilles Marcou1Pascal Ramos2Olivier Saurel3Jean-Luc Galzi4Alexandre Varnek5Laboratoire de Chémoinformatique UMR 7140 CNRS, Institut Le Bel, University of Strasbourg, 4 Rue Blaise Pascal, 67081 Strasbourg, FranceLaboratoire de Chémoinformatique UMR 7140 CNRS, Institut Le Bel, University of Strasbourg, 4 Rue Blaise Pascal, 67081 Strasbourg, FranceInstitut de Pharmacologie et de Biologie Structurale, Université de Toulouse CNRS, UPS, 205 Route de Narbonne, 31077 Toulouse, FranceInstitut de Pharmacologie et de Biologie Structurale, Université de Toulouse CNRS, UPS, 205 Route de Narbonne, 31077 Toulouse, FranceBiotechnologie et Signalisation Cellulaire UMR 7242 CNRS, École Supérieure de Biotechnologie de Strasbourg, University of Strasbourg, 300 Boulevard Sébastien Brant, 67412 Illkirch, FranceLaboratoire de Chémoinformatique UMR 7140 CNRS, Institut Le Bel, University of Strasbourg, 4 Rue Blaise Pascal, 67081 Strasbourg, FranceIn this paper, we report comprehensive experimental and chemoinformatics analyses of the solubility of small organic molecules (“fragments”) in dimethyl sulfoxide (DMSO) in the context of their ability to be tested in screening experiments. Here, DMSO solubility of 939 fragments has been measured experimentally using an NMR technique. A Support Vector Classification model was built on the obtained data using the ISIDA fragment descriptors. The analysis revealed 34 outliers: experimental issues were retrospectively identified for 28 of them. The updated model performs well in 5-fold cross-validation (balanced accuracy = 0.78). The datasets are available on the Zenodo platform (DOI:10.5281/zenodo.4767511) and the model is available on the website of the Laboratory of Chemoinformatics.https://www.mdpi.com/1420-3049/26/13/3950DMSO solubilityQSPRfragment-based screeningoutlier detectionNMR |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shamkhal Baybekov Gilles Marcou Pascal Ramos Olivier Saurel Jean-Luc Galzi Alexandre Varnek |
spellingShingle |
Shamkhal Baybekov Gilles Marcou Pascal Ramos Olivier Saurel Jean-Luc Galzi Alexandre Varnek DMSO Solubility Assessment for Fragment-Based Screening Molecules DMSO solubility QSPR fragment-based screening outlier detection NMR |
author_facet |
Shamkhal Baybekov Gilles Marcou Pascal Ramos Olivier Saurel Jean-Luc Galzi Alexandre Varnek |
author_sort |
Shamkhal Baybekov |
title |
DMSO Solubility Assessment for Fragment-Based Screening |
title_short |
DMSO Solubility Assessment for Fragment-Based Screening |
title_full |
DMSO Solubility Assessment for Fragment-Based Screening |
title_fullStr |
DMSO Solubility Assessment for Fragment-Based Screening |
title_full_unstemmed |
DMSO Solubility Assessment for Fragment-Based Screening |
title_sort |
dmso solubility assessment for fragment-based screening |
publisher |
MDPI AG |
series |
Molecules |
issn |
1420-3049 |
publishDate |
2021-06-01 |
description |
In this paper, we report comprehensive experimental and chemoinformatics analyses of the solubility of small organic molecules (“fragments”) in dimethyl sulfoxide (DMSO) in the context of their ability to be tested in screening experiments. Here, DMSO solubility of 939 fragments has been measured experimentally using an NMR technique. A Support Vector Classification model was built on the obtained data using the ISIDA fragment descriptors. The analysis revealed 34 outliers: experimental issues were retrospectively identified for 28 of them. The updated model performs well in 5-fold cross-validation (balanced accuracy = 0.78). The datasets are available on the Zenodo platform (DOI:10.5281/zenodo.4767511) and the model is available on the website of the Laboratory of Chemoinformatics. |
topic |
DMSO solubility QSPR fragment-based screening outlier detection NMR |
url |
https://www.mdpi.com/1420-3049/26/13/3950 |
work_keys_str_mv |
AT shamkhalbaybekov dmsosolubilityassessmentforfragmentbasedscreening AT gillesmarcou dmsosolubilityassessmentforfragmentbasedscreening AT pascalramos dmsosolubilityassessmentforfragmentbasedscreening AT oliviersaurel dmsosolubilityassessmentforfragmentbasedscreening AT jeanlucgalzi dmsosolubilityassessmentforfragmentbasedscreening AT alexandrevarnek dmsosolubilityassessmentforfragmentbasedscreening |
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1721298800526491648 |