Contemporary pharmaceutical techniques may be complemented by the use of plants, leading to a global increase in the analysis of traditional medicinal plants. With the advancement of computer science, in silico methods such as network analysis and screening have become widely utilized to provide insight into the pharmacological mechanisms of action of these plants. Through the implementation of network pharmacology, insilico screening, and pharmacokinetic screening, the number of active substances among the candidates can be increased, and the therapeutic plant's mode of action can be revealed. The present study focuses on the utilization of the Swiss ADME insilico ADME tool for the pharmacological and pharmacogenetic characterization of secondary metabolites present in Trigonella foenum-graecum. The results of these investigations may be utilized by researchers to conduct in vitro and in vivo studies, thereby uncovering the pharmacological mechanisms of action of traditional medicinal herbs.
CITATION STYLE
Kamble, A. N. S., & Mitkar, A. A. (2023). Swiss ADME predictions of pharmacokinetics and drug-likeness properties of secondary metabolites present in Trigonella foenum-graecum. Journal of Pharmacognosy and Phytochemistry, 12(5), 341–349. https://doi.org/10.22271/phyto.2023.v12.i5d.14745
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