TY - JOUR
T1 - Dibenzepinones, dibenzoxepines and benzosuberones based p38α MAP kinase inhibitors
T2 - Their pharmacophore modelling, 3D-QSAR and docking studies
AU - Khan, Mohemmed Faraz
AU - Verma, Garima
AU - Alam, Perwez
AU - Akhter, Mymoona
AU - Bakht, Md Afroz
AU - Hasan, Syed Misbahul
AU - Shaquiquzzaman, Mohammad
AU - Alam, Mohammad Mumtaz
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/7
Y1 - 2019/7
N2 - In the present study, a series of dibenzepinones, dibenzoxepines, and benzosuberones targeting p38α MAP kinase were subjected to pharmacophore modelling, 3D-QSAR and molecular docking studies. The IC50 values for these 67 compounds ranged between 0.003 and 6.80 μM. A five-point model (DDHHR.8)was generated using these compounds. This model was found to be statistically significant and was found to have high correlation (R2 = 0.98), cross-validation coefficient (Q2 = 0.95)and F (330)values at six component PLS factor. Tests were performed to ascertain the efficacy of the generated model. These tests included external validation, Tropsha's test for predictive ability, Y-randomisation test and domain of applicability (APD). In order to check the restrictivity of the model, enrichment studies were performed with inactive compounds by using decoy set molecules. To evaluate the effectiveness of the docking protocol, the co-crystallised ligand was extracted from the ligand-binding domain of the protein and was re-docked into the same position. Both the conformers were then superimposed, suggesting satisfactory docking parameters with an RMSD value of less than 1.0 Å (0.853 Å). A 10 ns molecular dynamics simulation confirmed the docking results of the 3UVP-ligand complex and the presumed active conformation. The outcome of the present study provides insight into the molecular features that promote bioactivity and can be exploited for the prediction of novel potent p38α MAP kinase inhibitors before carrying out their synthesis and anticancer evaluation.
AB - In the present study, a series of dibenzepinones, dibenzoxepines, and benzosuberones targeting p38α MAP kinase were subjected to pharmacophore modelling, 3D-QSAR and molecular docking studies. The IC50 values for these 67 compounds ranged between 0.003 and 6.80 μM. A five-point model (DDHHR.8)was generated using these compounds. This model was found to be statistically significant and was found to have high correlation (R2 = 0.98), cross-validation coefficient (Q2 = 0.95)and F (330)values at six component PLS factor. Tests were performed to ascertain the efficacy of the generated model. These tests included external validation, Tropsha's test for predictive ability, Y-randomisation test and domain of applicability (APD). In order to check the restrictivity of the model, enrichment studies were performed with inactive compounds by using decoy set molecules. To evaluate the effectiveness of the docking protocol, the co-crystallised ligand was extracted from the ligand-binding domain of the protein and was re-docked into the same position. Both the conformers were then superimposed, suggesting satisfactory docking parameters with an RMSD value of less than 1.0 Å (0.853 Å). A 10 ns molecular dynamics simulation confirmed the docking results of the 3UVP-ligand complex and the presumed active conformation. The outcome of the present study provides insight into the molecular features that promote bioactivity and can be exploited for the prediction of novel potent p38α MAP kinase inhibitors before carrying out their synthesis and anticancer evaluation.
KW - 3D-QSAR
KW - Benzosuberones
KW - Dibenzepinones
KW - Dibenzoxepines
KW - Molecular docking
KW - p38α MAP kinase inhibitors
KW - Pharmacophore modelling
UR - http://www.scopus.com/inward/record.url?scp=85066444320&partnerID=8YFLogxK
U2 - 10.1016/j.compbiomed.2019.05.023
DO - 10.1016/j.compbiomed.2019.05.023
M3 - Article
C2 - 31173941
AN - SCOPUS:85066444320
SN - 0010-4825
VL - 110
SP - 175
EP - 185
JO - Computers in Biology and Medicine
JF - Computers in Biology and Medicine
ER -