Revolutionizing Skin Health Metrics with MolClock
A Landmark Publication in Clinical Epigenetics
The Science Behind Methylation and Aging

How Epigenetics and Methylation Impact Skin Health
The Inspiration Behind MolClock
Empowering the Scientific Community
MolClock in Action: Developing OS-01

- MolClock is the first machine-learning-based algorithm designed to accurately predict the molecular age of the skin specifically.
- Through the analysis of over 500 human skin samples and more than 2,000 DNA methylation markers, MolClock provides an objective and precise method for measuring skinβs biological age.
- Traditional biological clocks like the Horvath clock are not specific to skin, making them less accurate for evaluating skinβs biological age specifically, and the relative efficacy of βanti-agingβ skin care ingredients and products.
- OneSkin used MolClock to develop and validate the effects of the OS-01 peptide, making it the first peptide scientifically proven to reverse the biological age of the skin.
- This article was initially published in July 2020 and has been updated.
- https://pubmed.ncbi.nlm.nih.gov/27518561/
- https://pubmed.ncbi.nlm.nih.gov/27518561/
- https://pubmed.ncbi.nlm.nih.gov/28198702/
- https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1000971
- https://pubmed.ncbi.nlm.nih.gov/24138928/
- Boroni, M. et al. Highly accurate skin-specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging. Clinical Epigenetics 12, 105. 2020.