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Sigma-2 receptor ligands QSAR model dataset

The data have been obtained from the Sigma-2 Receptor Selective Ligands Database (S2RSLDB) and refined according to the QSAR requirements. These data provide information about a set of 548 Sigma-2 (σ(2)) receptor ligands selective over Sigma-1 (σ(1)) receptor. The development of the QSAR model has b...

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Autores principales: Rescifina, Antonio, Floresta, Giuseppe, Marrazzo, Agostino, Parenti, Carmela, Prezzavento, Orazio, Nastasi, Giovanni, Dichiara, Maria, Amata, Emanuele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491401/
https://www.ncbi.nlm.nih.gov/pubmed/28702490
http://dx.doi.org/10.1016/j.dib.2017.06.022
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author Rescifina, Antonio
Floresta, Giuseppe
Marrazzo, Agostino
Parenti, Carmela
Prezzavento, Orazio
Nastasi, Giovanni
Dichiara, Maria
Amata, Emanuele
author_facet Rescifina, Antonio
Floresta, Giuseppe
Marrazzo, Agostino
Parenti, Carmela
Prezzavento, Orazio
Nastasi, Giovanni
Dichiara, Maria
Amata, Emanuele
author_sort Rescifina, Antonio
collection PubMed
description The data have been obtained from the Sigma-2 Receptor Selective Ligands Database (S2RSLDB) and refined according to the QSAR requirements. These data provide information about a set of 548 Sigma-2 (σ(2)) receptor ligands selective over Sigma-1 (σ(1)) receptor. The development of the QSAR model has been undertaken with the use of CORAL software using SMILES, molecular graphs and hybrid descriptors (SMILES and graph together). Data here reported include the regression for σ(2) receptor pK(i) QSAR models. The QSAR model was also employed to predict the σ(2) receptor pK(i) values of the FDA approved drugs that are herewith included.
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spelling pubmed-54914012017-07-12 Sigma-2 receptor ligands QSAR model dataset Rescifina, Antonio Floresta, Giuseppe Marrazzo, Agostino Parenti, Carmela Prezzavento, Orazio Nastasi, Giovanni Dichiara, Maria Amata, Emanuele Data Brief Data Article The data have been obtained from the Sigma-2 Receptor Selective Ligands Database (S2RSLDB) and refined according to the QSAR requirements. These data provide information about a set of 548 Sigma-2 (σ(2)) receptor ligands selective over Sigma-1 (σ(1)) receptor. The development of the QSAR model has been undertaken with the use of CORAL software using SMILES, molecular graphs and hybrid descriptors (SMILES and graph together). Data here reported include the regression for σ(2) receptor pK(i) QSAR models. The QSAR model was also employed to predict the σ(2) receptor pK(i) values of the FDA approved drugs that are herewith included. Elsevier 2017-06-16 /pmc/articles/PMC5491401/ /pubmed/28702490 http://dx.doi.org/10.1016/j.dib.2017.06.022 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 Data Article
Rescifina, Antonio
Floresta, Giuseppe
Marrazzo, Agostino
Parenti, Carmela
Prezzavento, Orazio
Nastasi, Giovanni
Dichiara, Maria
Amata, Emanuele
Sigma-2 receptor ligands QSAR model dataset
title Sigma-2 receptor ligands QSAR model dataset
title_full Sigma-2 receptor ligands QSAR model dataset
title_fullStr Sigma-2 receptor ligands QSAR model dataset
title_full_unstemmed Sigma-2 receptor ligands QSAR model dataset
title_short Sigma-2 receptor ligands QSAR model dataset
title_sort sigma-2 receptor ligands qsar model dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491401/
https://www.ncbi.nlm.nih.gov/pubmed/28702490
http://dx.doi.org/10.1016/j.dib.2017.06.022
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