Thenmozhi, M. and Suganya, J. and Amudha, P. and Prabha, S.B. and Vidya, R. and Shanmugavani, S. (2023) COMPUTATIONAL SCREENING OF PHYTOCONSTITUENTS FROM MEDICINAL PLANTS FOR FERTILITY POTENTIALS. YMER, 22 (1). ISSN 0044-0477
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Abstract
Infertility is a global problem affecting 8-12% married people during their reproductive
lives. According to estimates from 2010, roughly 5% of heterosexual couples worldwide have
unresolved infertility issues. Ovulatory issues, which are frequently characterized by
irregular menstrual cycles, are the most frequent cause of female infertility. There are most
important traditional plants like Achyranthes aspera, Justicia insularis, Punica grantum
whose previous pharmacological studies were reported to possess anticancer, antidiabetic,
antimicrobial and fertility inducer. The ten phytochemicals were identified from the above 3
medicinal plants through literature survey. The estrogenic protein 1A52 was responsible for
infertility caused to human. To investigate the binding relationship between the compounds of
Achyranthes aspera, Justica adhatoda, and Punica grantum and the protein, 10 compounds
were tested for their estrogenic activity against the 1A52 protein using docking experiments.
The docking results showed that two compounds had the best binding interactions with the
estrogenic protein's binding site.
| Item Type: | Article |
|---|---|
| Subjects: | Biochemistry > Computational Biomodeling |
| Domains: | Biochemistry |
| Depositing User: | Mr Prabakaran Natarajan |
| Date Deposited: | 18 Dec 2025 09:53 |
| Last Modified: | 18 Dec 2025 09:53 |
| URI: | https://ir.vistas.ac.in/id/eprint/11756 |


