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A DFT-Based QSAR and Molecular Docking Studies on Potent Anti-Colon Cancer Activity of Pyrazole Derivatives

TLDR
A set of twenty Pyrazole based compounds which had been previously shown to be active against human colon cancer cell (HT29) are use in the study, and it showed that H-bonds played a prominent role in the binding and posed stability of the ligand in the ligandreceptor complexes.
Abstract
Pyrazole derivatives have been described as a group of compounds with various biological activities including anticancer effect. Therefore, a set of twenty Pyrazole based compounds which had been previously shown to be active against human colon cancer cell (HT29) are use in the study. These compounds were optimized using Density Functional Theory (DFT) for the calculations of molecular descriptors that related the bioactivity of these compounds to their structures. The developed quantitative structure activity relation (QSAR) was validated, and it showed the reliability and acceptability of the model. The in silico simulations were carried out on the twenty Pyrazole based compounds with colon cancer cell line, HT29 (PDB ID: 2N8A) using Autodock vina software. The docked complexes were validated and enumerated based on the AutoDock Scoring function to pick out the best inhibitors based on docked Energy. The analysis of the ligand-receptor complexes showed that H-bonds played a prominent role in the binding and posed stability of the ligand in the ligandreceptor complexes. The binding free energy, ΔG calculated ranged from 6.10 kcal/mol – 8.20 Kcal/mol.

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In silico toxicity as a tool for harm reduction: A study of new psychoactive amphetamines and cathinones in the context of criminal science.

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Synthetic fentanyls evaluation and characterization by infrared spectroscopy employing in silico methods

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References
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Journal ArticleDOI

A DFT-based QSAR study of the toxicity of quaternary ammonium compounds on Chlorella vulgaris.

TL;DR: The DFT-based descriptors were used to derive the quantitative structure-activity relationship (QSAR) models enabling the calculated quantum chemistry parameters to be correlated to the toxicity of quaternary ammonium compounds (QACs) on green alga Chlorella vulgaris.
Journal ArticleDOI

Structure-activity relationships for the toxicity of polychlorinated dibenzofurans: approach through density functional theory-based descriptors.

TL;DR: DFT descriptors could be used as useful electronic descriptors in QSARs for the prediction of toxicity of PCDFs and showed that the most toxic isomer of tetrachlorodibenzofurans and dibenzo-p-dioxins had the largest chemical softness value in its respective group.
Journal ArticleDOI

Atom, Atom-Type, and Total Linear Indices of the “Molecular Pseudograph’s Atom Adjacency Matrix”: Application to QSPR/QSAR Studies of Organic Compounds

TL;DR: The atom, atom-type and total linear indices of the molecular pseudograph's atom adjacency matrix appear to be a very promising structural invariant, useful for QSPR/QSAR studies and computer-aided "rational" drug design.
Journal ArticleDOI

Colon Cancer Prevention through Probiotics: An Overview

TL;DR: This review presents information about mechanism of different probiotic actions, factors contributing colon cancer risks and how probiotics are helpful in preventing colon cancer with supporting scientific based evidence and various experimental studies.
Journal ArticleDOI

Discovery of FR166124, a novel water-soluble pyrazolo-[1,5-a]pyridine adenosine A1 receptor antagonist.

TL;DR: In this series, FR166124 was found to be the most potent and selective adenosine A1 receptor antagonist, and the double bond of the cyclohexenyl acetic acid group was essential for selectivity of A1 receptors binding.
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