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Comprehensive data on a 2D-QSAR model for Heme Oxygenase isoform 1 inhibitors

The data have been obtained from the Heme Oxygenase Database (HemeOxDB) and refined according to the 2D-QSAR requirements. These data provide information about a set of more than 380 Heme Oxygenase-1 (HO-1) inhibitors. The development of the 2D-QSAR model has been undertaken with the use of CORAL so...

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Autores principales: Amata, Emanuele, Marrazzo, Agostino, Dichiara, Maria, Modica, Maria N., Salerno, Loredana, Prezzavento, Orazio, Nastasi, Giovanni, Rescifina, Antonio, Romeo, Giuseppe, Pittalà, Valeria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635207/
https://www.ncbi.nlm.nih.gov/pubmed/29034293
http://dx.doi.org/10.1016/j.dib.2017.09.036
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author Amata, Emanuele
Marrazzo, Agostino
Dichiara, Maria
Modica, Maria N.
Salerno, Loredana
Prezzavento, Orazio
Nastasi, Giovanni
Rescifina, Antonio
Romeo, Giuseppe
Pittalà, Valeria
author_facet Amata, Emanuele
Marrazzo, Agostino
Dichiara, Maria
Modica, Maria N.
Salerno, Loredana
Prezzavento, Orazio
Nastasi, Giovanni
Rescifina, Antonio
Romeo, Giuseppe
Pittalà, Valeria
author_sort Amata, Emanuele
collection PubMed
description The data have been obtained from the Heme Oxygenase Database (HemeOxDB) and refined according to the 2D-QSAR requirements. These data provide information about a set of more than 380 Heme Oxygenase-1 (HO-1) inhibitors. The development of the 2D-QSAR model has been undertaken with the use of CORAL software using SMILES, molecular graphs and hybrid descriptors (SMILES and graph together). The 2D-QSAR model regressions for HO-1 half maximal inhibitory concentration (IC(50)) expressed as pIC(50) (pIC(50)=−LogIC(50)) are here included. The 2D-QSAR model was also employed to predict the HO-1 pIC(50)values of the FDA approved drugs that are herewith reported.
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spelling pubmed-56352072017-10-13 Comprehensive data on a 2D-QSAR model for Heme Oxygenase isoform 1 inhibitors Amata, Emanuele Marrazzo, Agostino Dichiara, Maria Modica, Maria N. Salerno, Loredana Prezzavento, Orazio Nastasi, Giovanni Rescifina, Antonio Romeo, Giuseppe Pittalà, Valeria Data Brief Pharmacology, Toxicology and Pharmaceutical Science    The data have been obtained from the Heme Oxygenase Database (HemeOxDB) and refined according to the 2D-QSAR requirements. These data provide information about a set of more than 380 Heme Oxygenase-1 (HO-1) inhibitors. The development of the 2D-QSAR model has been undertaken with the use of CORAL software using SMILES, molecular graphs and hybrid descriptors (SMILES and graph together). The 2D-QSAR model regressions for HO-1 half maximal inhibitory concentration (IC(50)) expressed as pIC(50) (pIC(50)=−LogIC(50)) are here included. The 2D-QSAR model was also employed to predict the HO-1 pIC(50)values of the FDA approved drugs that are herewith reported. Elsevier 2017-09-21 /pmc/articles/PMC5635207/ /pubmed/29034293 http://dx.doi.org/10.1016/j.dib.2017.09.036 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Pharmacology, Toxicology and Pharmaceutical Science   
Amata, Emanuele
Marrazzo, Agostino
Dichiara, Maria
Modica, Maria N.
Salerno, Loredana
Prezzavento, Orazio
Nastasi, Giovanni
Rescifina, Antonio
Romeo, Giuseppe
Pittalà, Valeria
Comprehensive data on a 2D-QSAR model for Heme Oxygenase isoform 1 inhibitors
title Comprehensive data on a 2D-QSAR model for Heme Oxygenase isoform 1 inhibitors
title_full Comprehensive data on a 2D-QSAR model for Heme Oxygenase isoform 1 inhibitors
title_fullStr Comprehensive data on a 2D-QSAR model for Heme Oxygenase isoform 1 inhibitors
title_full_unstemmed Comprehensive data on a 2D-QSAR model for Heme Oxygenase isoform 1 inhibitors
title_short Comprehensive data on a 2D-QSAR model for Heme Oxygenase isoform 1 inhibitors
title_sort comprehensive data on a 2d-qsar model for heme oxygenase isoform 1 inhibitors
topic Pharmacology, Toxicology and Pharmaceutical Science   
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635207/
https://www.ncbi.nlm.nih.gov/pubmed/29034293
http://dx.doi.org/10.1016/j.dib.2017.09.036
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