Trimedlure (tert-butyl 4- and 5-chloro-cis- andtrans-2-methylcyclohexane-1-carboxylate), a mixture of eight isomers, is used as an attractant for detecting and monitoring the male Mediterranean fruit fly. This paper reports the quantitative structure-activity relationship (QSAR), via CHEMX, of the eight purified isomers (racemic mixtures) of trimedlure. The relationship between structure and attractiveness is demonstrated by utilizing male medfly field catch on day 0 of the individual isomers vs. several molecular descriptors: volume, surface area, a torsion angle, and an interatomic distance.
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http://dx.doi.org/10.1007/BF00984879 | DOI Listing |
Sci Rep
January 2025
Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, 11461, Riyadh, Saudi Arabia.
Quantitative structure-property relationship (QSPR) modeling has emerged as a pivotal tool in the field of medicinal chemistry and drug design, offering a predictive framework for understanding the correlation between chemical structure and physicochemical properties. Topological indices are mathematical descriptors derived from the molecular graphs that capture structural features and connectivity, playing a crucial role in QSPR analysis by quantitatively relating chemical structures to their physicochemical properties and biological activities. Lung cancer is characterized by its aggressive nature and late-stage diagnosis, often limiting treatment options and significantly impacting patient survival rates.
View Article and Find Full Text PDFDatabase (Oxford)
January 2025
Department of In Vitro Toxicology and Dermato-Cosmetology (IVTD), Vrije Universiteit Brussel, Laarbeeklaan 103, Brussels 1090, Belgium.
The European Union's ban on animal testing for cosmetic products and their ingredients, combined with the lack of validated animal-free methods, poses challenges in evaluating their potential repeated-dose organ toxicity. To address this, innovative strategies like Next-Generation Risk Assessment (NGRA) are being explored, integrating historical animal data with new mechanistic insights from non-animal New Approach Methodologies (NAMs). This paper introduces the TOXIN knowledge graph (TOXIN KG), a tool designed to retrieve toxicological information on cosmetic ingredients, with a focus on liver-related data.
View Article and Find Full Text PDFAgonists of insect hormones, namely molting hormone (MH) and juvenile hormone (JH), disrupt the normal growth of insects and can be employed as insecticides that are harmless to vertebrates. In this study, a series of experiments and computational analyses were conducted to rationally design novel insect hormone agonists. Syntheses and quantitative structure-activity relationship (QSAR) analyses of two MH agonist chemotypes, imidazothiadiazoles and tetrahydroquinolines, revealed that the structural factors important for the ligand-receptor interactions are significantly different between these chemotypes.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China. Electronic address:
Minimal study focused on the association between mixed pollutants in atmospheric particulate matter (PM) and their reproductive health risks. Utilizing a novel quantitative structure-activity relationship (QSAR) integrated machine learning algorithms, we evaluated the mixed reproductive health risks associated with phthalates (PAEs) and organophosphates (OPEs) exposure by assessing the affinities of these compounds binding to estrogen receptors (ER) and androgen receptors (AR). The mixed toxicity equivalent factor (TEF) and mixed toxicity equivalent quantity (TEQ) by the QSAR model were all smaller than the sum TEF and TEQ of individual PAEs and OPEs, which may be due to the antagonistic effect of PAEs and OPEs monomers on reproductive toxicity.
View Article and Find Full Text PDFCurr Drug Discov Technol
January 2025
Institute of Pharmacy, AMITY University, Jaipur, Rajasthan.
Background: Our research highlights the synthesis of newer antimalarial compounds using molecular modeling studies.
Objective: The study investigates a series of isocryptolepine derivatives from previous literature, focusing on their biological activities as antimalarial agents.
Methods: Computational methods such as molecular docking and QSAR were employed to gain insights into the interaction between the synthesized compounds and the target enzyme PfDHFR-TS.
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