Molecular Modeling and 3D-QSAR Studies on the Interaction Mechanism of Tripeptidyl Thrombin Inhibitors with Human α-Thrombin†

1997 ◽  
Vol 40 (19) ◽  
pp. 3085-3090 ◽  
Author(s):  
Hualiang Jiang ◽  
Kaixian Chen ◽  
Yun Tang ◽  
Jianzhong Chen ◽  
Quan Li ◽  
...  
2021 ◽  
Vol 9 ◽  
Author(s):  
M. Shaheer Malik ◽  
Basim H. Asghar ◽  
Riyaz Syed ◽  
Reem I. Alsantali ◽  
Moataz Morad ◽  
...  

A series of novel pyran-linked phthalazinone-pyrazole hybrids were designed and synthesized by a facile one-pot three-component reaction employing substituted phthalazinone, 1H-pyrazole-5-carbaldehyde, and active methylene compounds. Optimization studies led to the identification of L-proline and ethanol as efficient catalyst and solvent, respectively. This was followed by evaluation of anticancer activity against solid tumor cell lines of lung and cervical carcinoma that displayed IC50 values in the range of 9.8–41.6 µM. Molecular modeling studies were performed, and crucial interactions with the target protein were identified. The drug likeliness nature of the compounds and molecular descriptors such as molecular flexibility, complexity, and shape index were also calculated to understand the potential of the synthesized molecules to act as lead-like molecule upon further detailed biological investigations as well as 3D-QSAR studies.


Molecules ◽  
2018 ◽  
Vol 23 (11) ◽  
pp. 2924 ◽  
Author(s):  
Gaomin Zhang ◽  
Yujie Ren

Cyclin-dependent kinase 2 (CDK2) is a potential target for treating cancer. Purine heterocycles have attracted particular attention as the scaffolds for the development of CDK2 inhibitors. To explore the interaction mechanism and the structure–activity relationship (SAR) and to design novel candidate compounds as potential CDK2 inhibitors, a systematic molecular modeling study was conducted on 35 purine derivatives as CDK2 inhibitors by combining three-dimensional quantitative SAR (3D-QSAR), virtual screening, molecular docking, and molecular dynamics (MD) simulations. The predictive CoMFA model (q2 = 0.743, r pred 2 = 0.991), the CoMSIA model (q2 = 0.808, r pred 2 = 0.990), and the Topomer CoMFA model (q2 = 0.779, r pred 2 = 0.962) were obtained. Contour maps revealed that the electrostatic, hydrophobic, hydrogen bond donor and steric fields played key roles in the QSAR models. Thirty-one novel candidate compounds with suitable predicted activity (predicted pIC50 > 8) were designed by using the results of virtual screening. Molecular docking indicated that residues Asp86, Glu81, Leu83, Lys89, Lys33, and Gln131 formed hydrogen bonds with the ligand, which affected activity of the ligand. Based on the QSAR model prediction and molecular docking, two candidate compounds, I13 and I60 (predicted pIC50 > 8, docking score > 10), with the most potential research value were further screened out. MD simulations of the corresponding complexes of these two candidate compounds further verified their stability. This study provided valuable information for the development of new potential CDK2 inhibitors.


INDIAN DRUGS ◽  
2015 ◽  
Vol 52 (12) ◽  
pp. 16-22
Author(s):  
S. S Todkar ◽  
◽  
A. H. Hoshmani

Recently discovery of relation between cyclooxygenase–2 (COX–2) inhibition and prevention of growth of cansar cells is a major area for research in medicinal chemistry, as it is free from side effects which are genetically shown by developed anticancer agents. In an attempt to develop potent and nontoxic COX–2 inhibitors, we have optimized the 1,5- diaryl pyrazole pharmacophore by using molecular modeling studies. In this paper we present results of 2D and 3D QSAR studies of a series of 22 molecules containing 1,5- diaryl pyrazole pharmacophore as selective COX–2 inhibitors. The 3D QSAR studies were performed using two different methods, stepwise variable selection k–nearest neighbor molecular field analysis (SW kNN–MFA) and simulated annealing k–nearest neighbor molecular field analysis (SA kNN–MFA) methods. The 2D QSAR studies were performed using multiple regressions. 3D QSAR studies produced reasonably good predictive models with high cross–validated r2cv value of 0.732 and 0.783 and predicted r2 value of 0.882 and 0.794 values using the models SW kNN–MFA and SA kNN–MFA method, respectively, whereas the r2 & predicted r2 value in 2D QSAR studies was found to be 0.84914 & 0.9157, respectively. the 2D QSAR studies indicated contribution of different physicochemical descriptors and the result of 3D QSAR studies indicated the exact steric and electronic requirement in the ranges at various positions in the 1,5- diaryl pyrazole pharmacophore. The pharmacophore requirement for selective COX–2 inhibition was optimized and requirement at various positions around 1, 5- diaryl pyrazole pharmacophore were defined.


2009 ◽  
Vol 15 (12) ◽  
pp. 1463-1479 ◽  
Author(s):  
Ki Hwan Kim ◽  
Irina Gaisina ◽  
Franck Gallier ◽  
Denise Holzle ◽  
Sylvie Y. Blond ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document