TY - JOUR
T1 - Docking and quantitative structure-activity relationship of oxadiazole derivates as inhibitors of GSK3 \upbeta β
AU - Quesada-Romero, Luisa
AU - Caballero, Julio
N1 - Funding Information:
Acknowledgments This study was supported by FONDECYT Regular # 1130141. Authors would like to express their sincere gratitude to Editor in Chief Guillermo A. Morales for assistance with the English correction of the manuscript.
PY - 2014/2
Y1 - 2014/2
N2 - The binding modes of 42 oxadiazole derivates inside glycogen synthase kinase 3 beta (GSK3 \upbeta) β) were determined using docking experiments; thus, the preferred active conformations of these inhibitors are proposed. We found that these compounds adopt a scorpion-shaped conformation and they accept a hydrogen bond (HB) from the residue Val135 of the GSK3 \upbeta β ATP-binding site hinge region. In addition, quantitative structure-activity relationship (QSAR) models were constructed to explain the trend of the GSK3 \upbeta β inhibitory activities for the studied compounds. In a first approach, three-dimensional (3D) vectors were calculated using docking conformations and, by using multiple-linear regression, we assessed that GETAWAY vectors were able to describe the reported biological activities. In other QSAR approach, SMILES-based optimal descriptors were calculated. The best model included three-SMILES elements SSS -\mathrm{k} k leading to the identification of key molecular features that contribute to a high GSK3 \upbeta β inhibitory activity.
AB - The binding modes of 42 oxadiazole derivates inside glycogen synthase kinase 3 beta (GSK3 \upbeta) β) were determined using docking experiments; thus, the preferred active conformations of these inhibitors are proposed. We found that these compounds adopt a scorpion-shaped conformation and they accept a hydrogen bond (HB) from the residue Val135 of the GSK3 \upbeta β ATP-binding site hinge region. In addition, quantitative structure-activity relationship (QSAR) models were constructed to explain the trend of the GSK3 \upbeta β inhibitory activities for the studied compounds. In a first approach, three-dimensional (3D) vectors were calculated using docking conformations and, by using multiple-linear regression, we assessed that GETAWAY vectors were able to describe the reported biological activities. In other QSAR approach, SMILES-based optimal descriptors were calculated. The best model included three-SMILES elements SSS -\mathrm{k} k leading to the identification of key molecular features that contribute to a high GSK3 \upbeta β inhibitory activity.
KW - Docking
KW - GSK3 \upbeta β inhibitors
KW - Optimal descriptors
KW - Oxadiazole derivates
KW - Quantitative structure-activity relationships
KW - Three-dimensional descriptors
UR - http://www.scopus.com/inward/record.url?scp=84894046901&partnerID=8YFLogxK
U2 - 10.1007/s11030-013-9483-5
DO - 10.1007/s11030-013-9483-5
M3 - Article
C2 - 24081608
AN - SCOPUS:84894046901
SN - 1381-1991
VL - 18
SP - 149
EP - 159
JO - Molecular Diversity
JF - Molecular Diversity
IS - 1
ER -