A series of novel 2-[(4-amino-6-R-1,3,5-triazin-2-yl)methylthio]-4-chloro-5-methyl--(5-R--benzo[]imidazol-2()-ylidene)benzenesulfonamides - was synthesized by the reaction of 5-substituted ethyl 2-{5-R-2-[-(5-chloro--benzo[]imidazol-2()-ylidene)sulfamoyl]-4-methylphenylthio}acetate with appropriate biguanide hydrochlorides. The most active compounds, and , showed significant cytotoxic activity and selectivity against colon (HCT-116), breast (MCF-7) and cervical cancer (HeLa) cell lines (IC: 7-11 µM; 15-24 µM and 11-18 µM), respectively. Further QSAR (Quantitative Structure-Activity Relationships) studies on the cytotoxic activity of investigated compounds toward HCT-116, MCF-7 and HeLa were performed by using different topological (2D) and conformational (3D) molecular descriptors based on the stepwise multiple linear regression technique (MLR). The QSAR studies allowed us to make three statistically significant and predictive models for them. Moreover, the molecular docking studies were carried out to evaluate the possible binding mode of the most active compounds, and , within the active site of the MDM2 protein.
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http://dx.doi.org/10.3390/ijms21082924 | DOI Listing |
Pharmaceuticals (Basel)
January 2025
Centro de Química Médica, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago 7780272, Chile.
Acute myeloid leukemia (AML) presents significant therapeutic challenges, particularly in cases driven by mutations in the FLT3 tyrosine kinase. This study aimed to develop a robust and user-friendly machine learning-based quantitative structure-activity relationship (QSAR) model to predict the inhibitory potency (pIC values) of FLT3 inhibitors, addressing the limitations of previous models in dataset size, diversity, and predictive accuracy. Using a dataset which was 14 times larger than those employed in prior studies (1350 compounds with 1269 molecular descriptors), we trained a random forest regressor, chosen due to its superior predictive performance and resistance to overfitting.
View Article and Find Full Text PDFPharmaceuticals (Basel)
December 2024
Faculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, Traian Vuia 6, 020956 Bucharest, Romania.
Aurora kinase B (AurB) is a pivotal regulator of mitosis, making it a compelling target for cancer therapy. Despite significant advances in protein kinase inhibitor development, there are currently no AurB inhibitors readily available for therapeutic use. This study introduces a machine learning-assisted drug repurposing framework integrating quantitative structure-activity relationship (QSAR) modeling, molecular fingerprints-based classification, molecular docking, and molecular dynamics (MD) simulations.
View Article and Find Full Text PDFMolecules
January 2025
Independent Researcher, 1802 Stanford Avenue, Duluth, MN 55811, USA.
The development of chirality descriptors for quantitative chirality structure-activity relationship (QCSAR) modeling has always attracted attention, owing to the importance of chiral molecules in pharmaceutical, agriculture, food, and fragrance industries, and environmental toxicology. The utility of a multidimensional space of novel relative chirality indices (RCIs) in the QCSAR modeling of twenty CCR2 antagonists is reported upon in this paper. The numerical characterization of chirality by the RCI approach gives a large pool of chirality descriptors with different degrees of mutual correlation (the correlation coefficient among the computed descriptors varied from 0.
View Article and Find Full Text PDFMutat Res Genet Toxicol Environ Mutagen
January 2025
Research & Development, Kongo Chemical Co., Ltd, Himata, Toyama 9300912, Japan.
Photodegradation of azilsartan yields a phenanthridine derivative (APP). We suspected that APP could be a DNA-reactive substance, since many phenanthridine derivatives are mutagenic. In silico quantitative structure-activity relationship analysis indicated potential mutagenicity of APP, due to DNA reactivity at the 6-aminophenanthridine moiety.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Biochemistry, University of Ilorin, Kwara State, Ilorin, Nigeria.
This study carried out a quantitative structure-activity relationship hazard assessment of the banned pesticides in Nigeria with a view of identifying the dangers posed by these pesticides. Structure-activity relationships (SARs) and quantitative structure-activity relationships (QSARs), which link a compound's chemical structure to its biological activity, can be used to create safer and more effective insecticides, prioritize chemicals for testing, and reduce the number of animal studies necessary throughout the regulatory process. The QSAR hazard assessment of the banned pesticides was carried out on the VEGA software.
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