Abstract
The present study is aimed to elucidate the structural features of substituted 2-(1-propylpiperidin-4-yl)-1H-benzimidazole-4-carboxamide required for poly (ADP-ribose) polymerase inhibition and to obtain predictive 2D QSAR models to guide the rational synthesis of novel poly (ADP-ribose) polymerase inhibitors. The statistical analysis has shown that excellent results are obtained by using partial least regression based on simulated annealing method. The best model was selected based on the highest correlation coefficient r (2) = 0.8590, and cross-validated squared correlation coefficient q (2) = 0.7875 with external predictive ability of [Formula: see text] was developed by stepwise PLS method with the descriptors like T_N_F_1, SdsCHcount, and Rotatable Bond Count. The generated models provide insight into the influence of various interactive fields on the activity and, thus, can help in designing and forecasting the inhibition activity of novel (ADP-ribose) polymerase molecules.
TY - JOUR
T1 - Structural Requirements of Some 2-(1-Propylpiperidin-4-yl)-1H-benzimidazole-4-carboxamide Derivatives as Poly (ADP-Ribose) Polymerase (PARP) for the Treatment of Cancer: QSAR Approach.
A1 - Sharma,Mukesh C,
Y1 - 2015/07/24/
PY - 2013/11/12/received
PY - 2014/01/10/accepted
PY - 2013/12/26/revised
PY - 2015/7/25/entrez
PY - 2015/7/25/pubmed
PY - 2016/10/16/medline
KW - (ADP-ribose) polymerase
KW - Benzimidazole-4-carboxamide
KW - Partial least square (PLS)
KW - Quantitative structure–activity relationship (QSAR)
SP - 11
EP - 22
JF - Interdisciplinary sciences, computational life sciences
JO - Interdiscip Sci
VL - 8
IS - 1
N2 - The present study is aimed to elucidate the structural features of substituted 2-(1-propylpiperidin-4-yl)-1H-benzimidazole-4-carboxamide required for poly (ADP-ribose) polymerase inhibition and to obtain predictive 2D QSAR models to guide the rational synthesis of novel poly (ADP-ribose) polymerase inhibitors. The statistical analysis has shown that excellent results are obtained by using partial least regression based on simulated annealing method. The best model was selected based on the highest correlation coefficient r (2) = 0.8590, and cross-validated squared correlation coefficient q (2) = 0.7875 with external predictive ability of [Formula: see text] was developed by stepwise PLS method with the descriptors like T_N_F_1, SdsCHcount, and Rotatable Bond Count. The generated models provide insight into the influence of various interactive fields on the activity and, thus, can help in designing and forecasting the inhibition activity of novel (ADP-ribose) polymerase molecules.
SN - 1867-1462
UR - https://www.unboundmedicine.com/medline/citation/26205198/Structural_Requirements_of_Some_2__1_Propylpiperidin_4_yl__1H_benzimidazole_4_carboxamide_Derivatives_as_Poly__ADP_Ribose__Polymerase__PARP__for_the_Treatment_of_Cancer:_QSAR_Approach_
DB - PRIME
DP - Unbound Medicine
ER -