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ElixirSeeker: A Machine Learning Framework Utilizing Fusion Molecular Fingerprints for the Discovery of
Yan Pan1,2, Hongxia Cai1,2, Fang Ye1,3
1Department of Neurology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Aging Cell
|May 26, 2025
Summary
This study introduces ElixirSeeker, a machine learning tool that accelerates the discovery of anti-aging compounds. It successfully identified four compounds that extend lifespan in model organisms, offering a cost-effective approach to drug development.
Area of Science:
- Biogerontology
- Computational drug discovery
- Machine learning in pharmacology
Background:
- Aging is a complex biological process linked to numerous diseases.
- Traditional anti-aging drug discovery is costly and has low success rates.
- Accelerating the identification of lifespan-modulating compounds is crucial.
Purpose of the Study:
- To develop a machine learning framework, ElixirSeeker, for efficient identification of anti-aging compounds.
- To maximize feature capture of lifespan-extending compounds using multi-fingerprint fusion.
- To reduce the cost and increase the success rate of anti-aging drug development.
Main Methods:
- Developed ElixirSeeker, a machine learning framework utilizing multi-fingerprint fusion.
- Screened external compound databases to identify potential anti-aging candidates.
- Validated top candidate compounds in Caenorhabditis elegans lifespan assays.
Main Results:
- ElixirSeeker successfully identified promising candidate anti-aging drugs.
- Four of the top six tested compounds significantly extended lifespan in Caenorhabditis elegans.
- Validated compounds include Praeruptorin C, Polyphyllin VI, Thymoquinone, and Medrysone.
Conclusions:
- ElixirSeeker effectively accelerates the discovery of viable anti-aging compounds.
- The framework has the potential to reduce drug development costs and improve success rates.
- This approach offers a promising strategy for enhancing lifespan and healthspan through novel therapeutics.
