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.
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http://dx.doi.org/10.1016/j.ejmech.2008.09.027 | DOI Listing |
SAR QSAR Environ Res
October 2022
Department of Chemistry, Faculty of Science, Babol Noshirvani University of Technology, Babol, Iran.
A novel decision-making procedure is proposed here for the first time to identify active/inactive and selective/non-selective dual inhibitors using consensus approaches and pools of k-nearest neighbours (kNN) classifications instead of individual models. Dual BRD4/PLK1 inhibition with adequate selectivity is a potential therapeutic strategy for targeting tumour cells in high-risk patients. We report the unique way to identify both active and selective dual BRD4/PLK1 inhibitors using consensus and kNN strategies together with two sources of receptor-based and ligand-based information which are the ranked binding energies of residues and important molecular features, respectively.
View Article and Find Full Text PDFPharmaceuticals (Basel)
September 2022
Department of Pharmacy, College of Pharmacy, Hanyang University, Ansan 426-791, Korea.
Cancer continues to be one of the world's most severe public health issues. Polo-like kinase 1 (PLK1) is one of the most studied members of the polo-like kinase subfamily of serine/threonine protein kinases. PLK1 is a key mitotic regulator responsible for cell cycle processes, such as mitosis initiation, bipolar mitotic spindle formation, centrosome maturation, the metaphase to anaphase transition, and mitotic exit, whose overexpression is often associated with oncogenesis.
View Article and Find Full Text PDFJ Mol Model
January 2022
Laboratory of Computational and Theoretical Chemistry, Faculty of Chemistry, University of Havana, Havana, Cuba.
We have developed two ligand- and receptor-based computational approaches to study the physicochemical properties relevant to the biological activity of vasopressin V2 receptor (V2R) antagonist and eventually to predict the expected binding mode to V2R. The obtained quantitative structure activity relationship (QSAR) model showed a correlation of the antagonist activity with the hydration energy (E), the polarizability (P), and the calculated partial charge on atom N7 (q6) of the common substructure. The first two descriptors showed a positive contribution to antagonist activity, while the third one had a negative contribution.
View Article and Find Full Text PDFJ Biomol Struct Dyn
December 2022
Department of Bioengineering, Integral University, Lucknow, India.
Cyclin-dependent kinases are of critical importance in directing various cell cycle phases making them as potential tumor targets. Cyclin-dependent kinase 2 (CDK2) in particular plays a significant part during cell cycle events and its imbalance roots out tumorogenic environment. Herein, we built a structure-based pharmacophore model complementing the ATP pocket site of CDK2 with four pharmacophoric features, using a series of structures obtained from cluster analysis during MD simulation assessment.
View Article and Find Full Text PDFLife (Basel)
April 2021
Laboratorio de Diseño Asistido por Computadora y Síntesis de Fármacos, Facultad de Química, Universidad Autónoma de Querétaro, Centro Universitario, Querétaro 76010, Mexico.
The CXCR6‒CXCL16 axis is involved in several pathological processes, and its overexpression has been detected in different types of cancer, such as prostate, breast, ovary, and lung cancer, along with schwannomas, in which it promotes invasion and metastasis. Moreover, this axis is involved in atherosclerosis, type 1 diabetes, primary immune thrombocytopenia, vitiligo, and other autoimmune diseases, in which it is responsible for the infiltration of different immune system cells. The 3D structure of CXCR6 and CXCL16 has not been experimentally resolved; therefore, homology modeling and molecular dynamics simulations could be useful for the study of this signaling axis.
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