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ADMET prediction or drug-likeness assessment of the top phytochemical candidates identified as potential 5-alpha-reductase inhibitors for hair loss treatment.

FIGURE 5

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Source Paper

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

Frontiers in bioinformatics (2025)

PMID: 40395369

DOI: 10.3389/fbinf.2025.1570101

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![FIGURE 5: ADMET prediction or drug-likeness assessment of the top phytochemical candidates identified as potential 5-alpha-reductase inhibitors for hair loss treatment.](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089051/bin/fbinf-05-1570101-g005.jpg)

> Source: Behnam Hasannejad-Asl et al. "Computational drug discovery of potential 5α-reductase phytochemical inhibitors ." *Frontiers in bioinformatics*, 2025. PMID: [40395369](https://pubmed.ncbi.nlm.nih.gov/40395369/)

<figure>
  <img src="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089051/bin/fbinf-05-1570101-g005.jpg" alt="ADMET prediction or drug-likeness assessment of the top phytochemical candidates identified as potential 5-alpha-reductase inhibitors for hair loss treatment." />
  <figcaption>FIGURE 5. ADMET prediction or drug-likeness assessment of the top phytochemical candidates identified as potential 5-alpha-reductase inhibitors for hair loss treatment.<br>  Source: Behnam Hasannejad-Asl et al. "Computational drug discovery of potential 5α-reductase phytochemical inhibitors ." <em>Frontiers in bioinformatics</em>, 2025. PMID: <a href="https://pubmed.ncbi.nlm.nih.gov/40395369/">40395369</a></figcaption>
</figure>

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FIGURE 5

Source Paper

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