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This study aimed to develop and validate an HPLC-MS method for determining Tryfuzol-neo 1% (piperidinium-{[5-(2-furan)-4-phenyl-4Н-1,2,4-triazole-3-ylthio)acetate}) in food control, veterinary, and biological samples, while also investigating its molecular interactions with cancer targets. A novel HPLC-MS methodology was developed and successfully applied to quantify Tryfuzol-neo residues in meat and animal organ matrices. Complementary computational studies were conducted using Gaussian calculations at B3LYP, HF, and M062X levels with 6-31g, 6-31++g, and 6-31++g(d,p) basis sets to examine the compound's properties. Molecular docking and dynamics simulations revealed stable binding interactions between Tryfuzol-neo and six cancer-related proteins: 2JW2, 2H80, and 3WZE (liver cancer); 2XIR and 5C5S (kidney cancer); and 3VF8 (spleen cancer). The results demonstrate the method's effectiveness for detecting Tryfuzol-neo in complex biological samples, while the computational analyses suggest potential therapeutic applications through specific protein interactions. This work presents the first validated HPLC-MS protocol for Tryfuzol-neo detection in food safety and veterinary medicine contexts, with the additional finding of its promising binding affinity to multiple cancer targets. The combination of analytical and in silico approaches provides a comprehensive characterization of Tryfuzol-neo, supporting its potential dual use as both a veterinary drug and a candidate for further anticancer research. These findings warrant additional pharmacological studies to explore Tryfuzol-neo's therapeutic potential and mechanism of action against the investigated cancer types.
Tryfuzol-neo HPLC-MS analytical method pharmaceutical analysis veterinary and toxicological analysis In silico
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This work was supported by the Scientific Research Project Fund of Sivas Cumhuriyet University (CUBAP) under the project number RGD-020.
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Primary Language | English |
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Subjects | Physical Chemistry (Other) |
Journal Section | Research Article |
Authors | |
Project Number | - |
Early Pub Date | May 27, 2025 |
Publication Date | |
Submission Date | April 17, 2025 |
Acceptance Date | May 20, 2025 |
Published in Issue | Year 2025 Volume: 9 Issue: 5 |
Journal Full Title: Turkish Computational and Theoretical Chemistry
Journal Abbreviated Title: Turkish Comp Theo Chem (TC&TC)