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Receptor-based 3D-QSAR studies of checkpoint Wee1 kinase inhibitors.
Eur J Med Chem. 2009 Apr; 44(4):1383-95.EJ

Abstract

One hundred and seventy-four pyrrolo[3,4-c]carbazole-1,3(2H,6H)-dione derivatives reported as inhibitors of the kinase Wee1 were used for a molecular docking and three-dimensional quantitative structure-activity relationship (3D-QSAR) study. Due to the availability of the three-dimensional structure of the Wee1 kinase a receptor-based alignment strategy was applied. Six available Wee1-inhibitor crystal structures were analyzed using the docking program GOLD resulting in a good reproduction of the experimentally derived position and interaction of the cocrystallized inhibitors. Since only a low correlation between docking scores and inhibitory activities was obtained for the series of 174 inhibitors a receptor-based 3D-QSAR study was performed, dividing the data set into 144 training set molecules and an external test set of 30 compounds. Besides the ligand alignment derived from the docking study we tested several other alignment procedures as basis for the 3D-QSAR analysis. The most predictive model was obtained using the alignment from the GOLD docking study. The CoMFA model was found to be robust (q(LOO)(2)=0.764 and r(2)=0.870). The predictive ability of the model was further examined by carrying out leave-20%-out and leave-50%-out cross-validation (q(2)=0.747 for leave-20%-out and 0.737 for leave-50%-out) and predicting the activities of 30 inhibitors used as external test set (r(pred)(2)=0.790). The graphical analysis of the CoMFA contour plot together with the key residues of the binding pocket provided important insight into the relevant interactions of the inhibitors. The results not only provide information about the essential features of potent Wee1 inhibitors but also show the advantage of using receptor-based alignment for 3D-QSAR analysis.

Authors+Show Affiliations

Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

18976834

Citation

Wichapong, Kanin, et al. "Receptor-based 3D-QSAR Studies of Checkpoint Wee1 Kinase Inhibitors." European Journal of Medicinal Chemistry, vol. 44, no. 4, 2009, pp. 1383-95.
Wichapong K, Lindner M, Pianwanit S, et al. Receptor-based 3D-QSAR studies of checkpoint Wee1 kinase inhibitors. Eur J Med Chem. 2009;44(4):1383-95.
Wichapong, K., Lindner, M., Pianwanit, S., Kokpol, S., & Sippl, W. (2009). Receptor-based 3D-QSAR studies of checkpoint Wee1 kinase inhibitors. European Journal of Medicinal Chemistry, 44(4), 1383-95. https://doi.org/10.1016/j.ejmech.2008.09.027
Wichapong K, et al. Receptor-based 3D-QSAR Studies of Checkpoint Wee1 Kinase Inhibitors. Eur J Med Chem. 2009;44(4):1383-95. PubMed PMID: 18976834.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Receptor-based 3D-QSAR studies of checkpoint Wee1 kinase inhibitors. AU - Wichapong,Kanin, AU - Lindner,Marc, AU - Pianwanit,Somsak, AU - Kokpol,Sirirat, AU - Sippl,Wolfgang, Y1 - 2008/09/30/ PY - 2008/03/11/received PY - 2008/08/20/revised PY - 2008/09/16/accepted PY - 2008/11/4/pubmed PY - 2009/7/2/medline PY - 2008/11/4/entrez SP - 1383 EP - 95 JF - European journal of medicinal chemistry JO - Eur J Med Chem VL - 44 IS - 4 N2 - One hundred and seventy-four pyrrolo[3,4-c]carbazole-1,3(2H,6H)-dione derivatives reported as inhibitors of the kinase Wee1 were used for a molecular docking and three-dimensional quantitative structure-activity relationship (3D-QSAR) study. Due to the availability of the three-dimensional structure of the Wee1 kinase a receptor-based alignment strategy was applied. Six available Wee1-inhibitor crystal structures were analyzed using the docking program GOLD resulting in a good reproduction of the experimentally derived position and interaction of the cocrystallized inhibitors. Since only a low correlation between docking scores and inhibitory activities was obtained for the series of 174 inhibitors a receptor-based 3D-QSAR study was performed, dividing the data set into 144 training set molecules and an external test set of 30 compounds. Besides the ligand alignment derived from the docking study we tested several other alignment procedures as basis for the 3D-QSAR analysis. The most predictive model was obtained using the alignment from the GOLD docking study. The CoMFA model was found to be robust (q(LOO)(2)=0.764 and r(2)=0.870). The predictive ability of the model was further examined by carrying out leave-20%-out and leave-50%-out cross-validation (q(2)=0.747 for leave-20%-out and 0.737 for leave-50%-out) and predicting the activities of 30 inhibitors used as external test set (r(pred)(2)=0.790). The graphical analysis of the CoMFA contour plot together with the key residues of the binding pocket provided important insight into the relevant interactions of the inhibitors. The results not only provide information about the essential features of potent Wee1 inhibitors but also show the advantage of using receptor-based alignment for 3D-QSAR analysis. SN - 1768-3254 UR - https://www.unboundmedicine.com/medline/citation/18976834/Receptor_based_3D_QSAR_studies_of_checkpoint_Wee1_kinase_inhibitors_ DB - PRIME DP - Unbound Medicine ER -