Leveraging machine learning and molecular docking techniques to predict novel melanocortin-4 receptor agonists

Monogenic obesity caused by mutations in the melanocortin-4 receptor (MC4R) gene remains a significant health challenge, despite numerous efforts to discover effective treatments. The MC4R has emerged as a promising target for drug development due to its role in energy homeostasis and adipose tissue formation.

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Publication Details

Journal
Folia Medica
Published
2025-06-06
DOI
https://doi.org/10.3897/folmed.67.e150583
Citations
1
Primary Topic
Regulation of Appetite and Obesity
Type
article
Field-Weighted Citation Impact
0.91
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article

Leveraging machine learning and molecular docking techniques to predict novel melanocortin-4 receptor agonists

Vasilis Panagiotopoulos, Eftichia Kritsi, Minos–Timotheos Matsoukas, Paris Christodoulou et al.
1 citations
Folia Medica
Regulation of Appetite and Obesity
0.91
article

Leveraging machine learning and molecular docking techniques to predict novel melanocortin-4 receptor agonists

Vasilis Panagiotopoulos, Eftichia Kritsi, Minos–Timotheos Matsoukas, Paris Christodoulou, Dionisis Cavouras, Stavroula Giakoumopoulou
article en
1 citations

Abstract

Monogenic obesity caused by mutations in the melanocortin-4 receptor (MC4R) gene remains a significant health challenge, despite numerous efforts to discover effective treatments. The MC4R has emerged as a promising target for drug development due to its role in energy homeostasis and adipose tissue formation.

Folia MedicaVol. 67(3)
University of West Attica (GR)
Good health and well-being
Openalex Percentile: Top 27%
Regulation of Appetite and Obesity
0.91
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