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ORIGINAL RESEARCH article

Front. Bioinform.

Sec. Drug Discovery in Bioinformatics

Volume 5 - 2025 | doi: 10.3389/fbinf.2025.1570101

Computational drug discovery of potential 5α-reductase phytochemical inhibitors and hair growth promotions using in silico techniques

Provisionally accepted
  • 1 Student Research Committee, Department of Medical biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran, Tehran, Iran
  • 2 Department of Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Alborz, Iran
  • 3 Student Research Committee, Iran University Of Medical Sciences, Tehran, Alborz, Iran
  • 4 Department of Medical Biotechnology, School of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Alborz, Iran
  • 5 Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran
  • 6 Student Research Committee, Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Alborz, Iran
  • 7 Department of Paramedicine, Mazandaran University of Medical Sciences, Sari, Iran. Immunogenetics Research Center, Mazandaran University of Medical Sciences, Sari, Iran, Sari, Iran

The final, formatted version of the article will be published soon.

    Male pattern hair loss (MPHL), also known as androgenetic alopecia (AGA), is a common disorder primarily caused by dihydrotestosterone (DHT). The Food and Drug Administration (FDA) has approved two 5-alpha reductase (5-AR) inhibitors-finasteride and dutasteride-for treating this condition. However, recent studies have reported adverse sexual side effects and issues with sperm production in young men using these medications. There are also recommendations for effectively treating hair loss with natural remedies, such as Urtica dioica (nettle), Serenoa repens (saw palmetto), and Trigonella foenum-graecum (fenugreek) that is mainly used for diminish the hair loss in the traditional medicine. Research shows that these herbal formulations and plant extracts may help reduce hair loss. However, the concentration of active compounds in these herbal extracts is often low, necessitating a large extract volume to achieve noticeable effects on hair growth.Although many studies have investigated the effects of these herbal extracts on hair growth, fewer studies focus on the specific compounds influencing the molecular mechanisms of hair loss, particularly the inhibition of 5-AR.For the first time, we aimed to applied a computational study to explore the phytochemicals extracted from these herbs to identify compounds that can effectively bind to and inhibit 5-AR.Additionally, we assessed the stability of the ligands encapsulated in lipid nanoparticles (LNP) by conducting molecular dynamics (MD) simulations of the LNP-encapsulated ligands. We utilized an online database to identify compounds from the extracts of nettle, saw palmetto, and fenugreek.We then analyzed their binding affinity to 5-AR using computational techniques. We found that 6 molecules-JAMOGENIN, NEODIOSGENIN, CHLOROGENIC ACID, RUTIN, RIBOFLAVIN, and URSOLIC ACID-are effective in binding to 5-AR. Additionally, our in silico studies revealed that vesicle-entrapped JAMOGENIN, which has a stronger bond with 5-AR, is more stable than its unencapsulated form.Therefore, these 6 molecules, particularly JAMOGENIN, should be considered for experimental analysis in both their unencapsulated and nanocarrier-encapsulated states to promote hair follicle growth.

    Keywords: Androgenetic Alopecia, 5-α reductase inhibitors, Herbal extracts, Computational study, Hair follicle growth

    Received: 02 Feb 2025; Accepted: 26 Mar 2025.

    Copyright: © 2025 Hasannejad-asl, Pooresmaeil, Azadi, Najafi, Esmaeili, Bagheri-Mohammadi and Kazemi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Bahram Kazemi, Department of Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Alborz, Iran

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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