Cargando…

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....

Descripción completa

Detalles Bibliográficos
Autores principales: Floresta, Giuseppe, Cilibrizzi, Agostino, Abbate, Vincenzo, Spampinato, Ambra, Zagni, Chiara, Rescifina, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
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
_version_ 1783383829269970944
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
work_keys_str_mv AT florestagiuseppe fabp4inhibitors3dqsarmodelandisostericreplacementofbms309403datasets
AT cilibrizziagostino fabp4inhibitors3dqsarmodelandisostericreplacementofbms309403datasets
AT abbatevincenzo fabp4inhibitors3dqsarmodelandisostericreplacementofbms309403datasets
AT spampinatoambra fabp4inhibitors3dqsarmodelandisostericreplacementofbms309403datasets
AT zagnichiara fabp4inhibitors3dqsarmodelandisostericreplacementofbms309403datasets
AT rescifinaantonio fabp4inhibitors3dqsarmodelandisostericreplacementofbms309403datasets