Computational drug discovery of potential 5α-reductase phytochemical inhibitors and hair growth promotion using in silico techniques.
Study Design
- نوع الدراسة
- In vitro
- التدخل
- Computational drug discovery of potential 5α-reductase phytochemical inhibitors and hair growth promotion using in silico techniques. None
- المقارن
- Placebo
- اتجاه التأثير
- Positive
- خطر التحيز
- Unclear
Abstract
INTRODUCTION: 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. METHODS: 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. RESULTS: 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. DISCUSSION: 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.
Full Text
Figures
FIGURE 1
Molecular docking results showing phytochemical compounds binding to the 5-alpha-reductase enzyme active site, as part of computational drug discovery for androgenetic alopecia.
diagram
FIGURE 2
Binding affinity comparison of candidate phytochemical inhibitors versus known 5-alpha-reductase inhibitors like finasteride, generated through in silico screening.
chart
FIGURE 3
Molecular dynamics simulation results showing the stability of phytochemical-5-alpha-reductase complexes over time.
chart
FIGURE 4
Pharmacophore model or interaction diagram illustrating key binding residues between the most promising phytochemical candidates and the 5-alpha-reductase target.
diagram
FIGURE 5
ADMET prediction or drug-likeness assessment of the top phytochemical candidates identified as potential 5-alpha-reductase inhibitors for hair loss treatment.
chartTables
TABLE 1
| Chemical name | Plant | Mean of ΔG (KJ/mol) | Favorite Hydrogen bonds | Other Hydrogen bonds |
|---|---|---|---|---|
| RIBOFLAVIN |
| −10.9 | 3 | 7 |
| CHLOROGENIC-ACID |
| −9.1 | 3 | 7 |
| ISORHAMNETIN-3-O-RUTINOSIDE |
| −9.9 | 3 | 6 |
| KAEMPFEROL-3-O-BETA-D-RUTINOSIDE |
| −9.03 | 3 | 5 |
| OLEANOLIC-ACID |
| −9.3 | 3 | 0 |
| STACHYOSE |
| −8.87 | 4 | 4 |
| RAFFINOSE |
| −8.37 | 3 | 5 |
| URSOLIC-ACID |
| −11.1 | 3 | 0 |
| FENUGREEKINE |
| −10.53 | 5 | 1 |
| QUERCITRIN |
| −8.8 | 3 | 5 |
| YAMOGENIN |
| −10 | 3 | 0 |
| KAEMPFEROL-3,7-DIGLUCOSIDE |
| −9.57 | 3 | 0 |
| DIOSGENIN |
| −10.2 | 4 | 0 |
| QUERCETIN-3,7-DIGLUCOSIDE |
| −9.77 | 4 | 1 |
| RUTIN |
| −9.7 | 3 | 7 |
| VITEXIN-7-GLUCOSIDE |
| −8.3 | 4 | 4 |
TABLE 2
| Plant | Chemical name | SwissADME analysis | ||
|---|---|---|---|---|
| MW | BBB permeant | Lipinski #violations | ||
|
| RIBOFLAVIN | 376.36 | No | 0 |
|
| CHLOROGENIC-ACID | 354.31 | No | 1 |
|
| ISORHAMNETIN-3-O-RUTINOSIDE | 624.54 | No | 3 |
|
| KAEMPFEROL-3-O-BETA-D-RUTINOSIDE | 594.52 | No | 3 |
|
| OLEANOLIC-ACID | 456.7 | No | 1 |
|
| STACHYOSE | 666.58 | No | 3 |
|
| RAFFINOSE | |||
|
| URSOLIC-ACID | 456.7 | No | 1 |
|
| FENUGREEKINE | 663.43 | No | 3 |
|
| ISOQUERCITRIN | 464.38 | No | 2 |
|
| YAMOGENIN | 414.62 | Yes | 1 |
|
| KAEMPFEROL-3,7-DIGLUCOSIDE | 610.52 | No | 3 |
|
| DIOSGENIN | 414.62 | Yes | 1 |
|
| QUERCETIN-3,7-DIGLUCOSIDE | 626.52 | No | 3 |
|
| RAFFINOSE | 504.44 | No | 3 |
|
| RUTIN | 610.52 | No | 3 |
|
| VITEXIN-7-GLUCOSIDE | 594.52 | No | 3 |
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