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FABP4 inhibitors 3D-QSAR model and isosteric replacement of BMS309403 datasets
The data have been obtained from FABP4 inhibitor molecules previously published. The 120 compounds were used to build a 3D-QSAR model. The development of the QSAR model has been undertaken with the use of Forge software using the PM3 optimized structure and the experimental IC(50) of each compound....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312796/ https://www.ncbi.nlm.nih.gov/pubmed/30619925 http://dx.doi.org/10.1016/j.dib.2018.12.047 |
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author | Floresta, Giuseppe Cilibrizzi, Agostino Abbate, Vincenzo Spampinato, Ambra Zagni, Chiara Rescifina, Antonio |
author_facet | Floresta, Giuseppe Cilibrizzi, Agostino Abbate, Vincenzo Spampinato, Ambra Zagni, Chiara Rescifina, Antonio |
author_sort | Floresta, Giuseppe |
collection | PubMed |
description | The data have been obtained from FABP4 inhibitor molecules previously published. The 120 compounds were used to build a 3D-QSAR model. The development of the QSAR model has been undertaken with the use of Forge software using the PM3 optimized structure and the experimental IC(50) of each compound. The QSAR model was also employed to predict the activity of 3000 new isosteric derivatives of BMS309403. The isosteric replacement was also validated by the synthesis and the biological screening of three new compounds reported in the related research article “3D-QSAR assisted identification of FABP4 inhibitors: An effective scaffold hopping analysis/QSAR evaluation” (Floresta et al., 2019). |
format | Online Article Text |
id | pubmed-6312796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-63127962019-01-07 FABP4 inhibitors 3D-QSAR model and isosteric replacement of BMS309403 datasets Floresta, Giuseppe Cilibrizzi, Agostino Abbate, Vincenzo Spampinato, Ambra Zagni, Chiara Rescifina, Antonio Data Brief Chemistry The data have been obtained from FABP4 inhibitor molecules previously published. The 120 compounds were used to build a 3D-QSAR model. The development of the QSAR model has been undertaken with the use of Forge software using the PM3 optimized structure and the experimental IC(50) of each compound. The QSAR model was also employed to predict the activity of 3000 new isosteric derivatives of BMS309403. The isosteric replacement was also validated by the synthesis and the biological screening of three new compounds reported in the related research article “3D-QSAR assisted identification of FABP4 inhibitors: An effective scaffold hopping analysis/QSAR evaluation” (Floresta et al., 2019). Elsevier 2018-12-19 /pmc/articles/PMC6312796/ /pubmed/30619925 http://dx.doi.org/10.1016/j.dib.2018.12.047 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Chemistry Floresta, Giuseppe Cilibrizzi, Agostino Abbate, Vincenzo Spampinato, Ambra Zagni, Chiara Rescifina, Antonio FABP4 inhibitors 3D-QSAR model and isosteric replacement of BMS309403 datasets |
title | FABP4 inhibitors 3D-QSAR model and isosteric replacement of BMS309403 datasets |
title_full | FABP4 inhibitors 3D-QSAR model and isosteric replacement of BMS309403 datasets |
title_fullStr | FABP4 inhibitors 3D-QSAR model and isosteric replacement of BMS309403 datasets |
title_full_unstemmed | FABP4 inhibitors 3D-QSAR model and isosteric replacement of BMS309403 datasets |
title_short | FABP4 inhibitors 3D-QSAR model and isosteric replacement of BMS309403 datasets |
title_sort | fabp4 inhibitors 3d-qsar model and isosteric replacement of bms309403 datasets |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312796/ https://www.ncbi.nlm.nih.gov/pubmed/30619925 http://dx.doi.org/10.1016/j.dib.2018.12.047 |
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