The tachykinin NK(3) receptor (NK(3)R) is a novel drug target for schizophrenia and drug abuse. Since few non-peptide antagonists of this G protein-coupled receptor are available, we have initiated this study to gain a better understanding of the structure-activity relationships of NK(3) antagonist compounds. We developed a 3D comparative molecular similarity index analysis (CoMSIA) model … Continued
Tag: Molecular Modeling & Simulation
3,4,5-Trisubstituted-1,2,4-4H-triazoles (TTs) have recently been identified as a new class of potent non-nucleoside HIV-1 reverse transcriptase (RT) inhibitors. Two series of triazoles have been studied, one of which was also screened against the Y188L mutant. A computational strategy based on molecular docking studies followed by comparative molecular fields analysis (CoMFA) and comparative molecular similarity indices … Continued
Mycobacterium tuberculosis pantothenate synthetase is a potential anti-tuberculosis target, and a high-throughput screening system was previously developed to identify its inhibitors. Using a similar system, we screened a small library of compounds and identified actinomycin D (ActD) as a weak inhibitor of pantothenate synthetase. A new method was established to discover more effective inhibitors by … Continued
Modeling off-target effects is one major goal of chemical biology, particularly in its applications to drug discovery. Here, we describe a new approach that allows the extraction of structure-activity relationships from large chemogenomic spaces starting from a single chemical structure. Several public source databases, offering a vast amount of data on structure and activity for … Continued
The average error of pIC50 prediction reported for 140 structures in make-and-test applications of topomer CoMFA by four discovery organizations is 0.5. This remarkable accuracy can be understood to result from a topomer pose’s goal of generating field differences only at lattice intersections adjacent to intended structural change.
Phenols and its analogues are known to induce caspase-mediated apoptosis activity and cytotoxicity on various cancer cell lines. In the current work, two types of molecular field analysis techniques were used to perform the three dimension quantitative structure activity relationship (3D-QSAR) modeling between structural characters and anticancer activity of two sets of phenolic compounds, which … Continued
Fructose-1,6-biphophatase has been regarded as a novel therapeutic target for the treatment of type 2 diabetes mellitus (T2DM). 3D-QSAR and docking studies were performed on a series of [5-(4-amino-1H-benzoimidazol-2-yl)-furan-2-yl]-phosphonic acid derivatives as fructose-1,6-biphophatase inhibitors. The CoMFA and CoMSIA models using thirty-seven molecules in the training set gave rcv2 values of 0.614 and 0.598, r2 values … Continued
Structure-based quantitative structure-activity relationship (QSAR) studies on a series of checkpoint kinase 1 (Chk1) inhibitors were performed to find the key structural features responsible for their inhibitory activity. Molecular docking was employed to explore the binding mode of all inhibitors at the active site of Chk1 and determine the active conformation for the QSAR studies. … Continued
3D-QSAR and docking studies were performed on a series of pyrazolo[4,3-h]quinazoline-3-carboxamides as CDK2/CyA inhibitors. The CoMFA and CoMSIA models using 54 molecules in the training set, gave rcv2 values of 0.644 and 0.507, r2 values of 0.959 and 0.951, respectively.
Development of anticancer drugs targeting Aurora B, an important member of the serine/threonine kinases family, has been extensively focused on in recent years. In this work, by applying an integrated computational method, including comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis (CoMSIA), homology modeling and molecular docking, we investigated the structural determinants of … Continued