About Us
The X-Club research team, established in 2021, integrates computational biology and artificial intelligence to address fundamental challenges in aging biology, toxicology, and drug development.
Our mission is to systematically analyze aging mechanisms using computational approaches and develop AI-assisted intervention strategies for precision anti-aging medicine. We leverage Caenorhabditis elegans (C. elegans) as an ideal model system for high-throughput toxicology testing and aging intervention validation, combining experimental validation with computational predictions.
Computational biology serves as our central research methodology, enabling us to unravel complex biological problems through AI-driven analysis, biomarker identification, and network modeling. Our team brings together experts from bioinformatics, molecular biology, artificial intelligence, and data science, fostering innovation through collaboration.
We welcome collaboration opportunities. If you are interested in working with us, please feel free to contact our research team to discuss potential collaborations.
Research Areas
Integrating Computational Biology & Artificial Intelligence to Address Critical Challenges in Aging Research
AI-Assisted Drug Development
Utilizing machine learning algorithms and artificial intelligence for virtual screening and prediction of anti-aging compounds, significantly improving drug discovery efficiency.
- Virtual screening of intervention compounds
- Machine learning-based drug prediction
- Safety-by-design principles
Computational Aging Biology
Using computational approaches to systematically analyze aging mechanisms, identify biomarkers, and model aging regulatory networks at multiple levels.
- Aging biomarker identification
- Multi-level regulatory network modeling
- Systems biology approaches
C. elegans Model System
Employing Caenorhabditis elegans as a powerful model organism for high-throughput toxicology testing and aging intervention validation.
- High-throughput toxicology testing
- Aging intervention validation
- Mechanism investigation
Precision Anti-Aging Medicine
Advancing aging basic research toward translatable medical applications, providing theoretical foundations for precision anti-aging drug development.
- Precision medicine approaches
- Translation to clinical applications
- Therapeutic strategy development
Environmental Toxicology
Investigating environmental toxicology mechanisms, with a particular focus on nanoplastic toxicology mechanisms and their impact on aging processes.
- Nanoplastic toxicology mechanism investigation
- Environmental toxicant impact assessment
- Aging-related toxicity pathways
Computer Vision
Leveraging computer vision techniques to enable automated analysis of C. elegans, facilitating high-throughput phenotypic screening and behavior analysis.
- Automated C. elegans analysis
- Phenotypic screening automation
- Behavior pattern recognition