Proceedings of the International Conference on Advances in Nano-Neuro-Bio-Quantum (ICAN 2023)

<Previous Article In Volume
Next Article In Volume>

Insilico Study of Phytochemical Component of Angelica Sinensis with Genes of Polycystic Ovarian Syndrome

Authors
G. Dhanalakshmi1, *, Preenon Bagchi2, M. Anuradha1
1Padmashree Institute of Mangement and Sciences, Bangalore, Karnataka, India
2Institute of Biosciences and Techology, MGM University, Aurangabad, India
*Corresponding author. Email: dhanu.bio@gmail.com
Corresponding Author
G. Dhanalakshmi
Available Online 17 November 2023.
DOI
10.2991/978-94-6463-294-1_17How to use a DOI?
Keywords
Polycystic ovarian syndrome; Molecular docking; CYP 19A1; CYP17A1; Angelica sinensis
Abstract

To investigate the efficiency of phytochemical components from Angelica sinensis against CYP 19A1 and CYP17A1 utilising computational molecular docking techniques. Polycystic ovarian syndrome is distinguished by hyperinsulinemia, menstrual abnormalities, long-term metabolic problems, and hyperandrogenism. An enzyme, CYP 19A1 and CYP17A1, stimulates the synthesis of androgens in the adrenal and ovarian glands. Hyperandrogenism is mostly caused by an increase in the activity of this enzyme. Excess androgen production in ovarian theca cells can be prevented by decreasing enzymatic activity.

Using CB docking, a phytochemical study of A sinensis was performed using CYP 19A1 and CYP17A1. These findings were compared to the docked scores of the fertility drugs letrozole and clomiphene citrate. The findings demonstrated that the chemicals found in A sinensis can help treat PCOS. This paper sheds light on the experimental approaches used to develop a novel medication for infertility.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Advances in Nano-Neuro-Bio-Quantum (ICAN 2023)
Series
Advances in Health Sciences Research
Publication Date
17 November 2023
ISBN
978-94-6463-294-1
ISSN
2468-5739
DOI
10.2991/978-94-6463-294-1_17How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - G. Dhanalakshmi
AU  - Preenon Bagchi
AU  - M. Anuradha
PY  - 2023
DA  - 2023/11/17
TI  - Insilico Study of Phytochemical Component of Angelica Sinensis with Genes of Polycystic Ovarian Syndrome
BT  - Proceedings of the International Conference on Advances in Nano-Neuro-Bio-Quantum (ICAN 2023)
PB  - Atlantis Press
SP  - 199
EP  - 211
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-294-1_17
DO  - 10.2991/978-94-6463-294-1_17
ID  - Dhanalakshmi2023
ER  -