The MetaboAge Database is a freely available electronic database with the main goal to host high-quality, manually curated, and detailed information about human small molecule metabolites that are involved in the aging signature. Briefly, the metabolites included in this database are small molecules that present variation in different age stages. Also, MetaboAge provides an encyclopedic reference on human metabolic pathways of these molecules. It is intended to be used for better knowledge and understanding of the aging process and has applications in metabolomics, clinical chemistry, biomarker discovery, and general education.
The data is curated manually by our experts from top-tier scientific literature, extracting key details to ensure that data is captured with full context, and implemented in the MetaboAge ontology. The data is integrated and structured so you can query, visualize, and compute across it.
For more details on MetaboAge please consult the User Guide section.
Because we are in an early stage of database development, MetaboAge contains only a few hundred metabolites. However, it grows continuously following our integration process and because more and more age-related metabolomics publication appear in the scientific journals.
MetaboAge is offered to the public as a freely available resource. The use for commercial purposes requires explicit permission of the authors and explicit acknowledgment of the source material (MetaboAge).
MetaboAge is a free, open-source, manually curated human aging-related metabolome database. Our goal is to provide intuitive bioinformatics tools for the visualization, interpretation, and analysis of pathway knowledge to support basic research and improve the knowledge regarding the aging process.
Reverse Senescence Biotechnologies is an omics-based technology-driven company creating aging-related digital tools. We also develop tools intended for medical personnel to improve the diagnostic of pathologies. Our tools also facilitate the path of the patients to a fast diagnostic.
Our goal is to improve the understanding of aging-signature through our omics integrative analysis and to develop web resources to support the medical prevention of age-related diseases like atherosclerosis, cancers, neurodegeneration, type 2 diabetes, osteoporosis, and sarcopenia.
Head: Dr. Robi Tacutu
Systems Biology of Aging Group, Ground floor, Splaiul Independentei 296, Bucharest, Romania
The Computational Biology of Aging Group is a research group based in the Institute of Biochemistry of the Romanian Academy. With a highly multi-disciplinary team, our areas of interest span biogerontology, systems biology and bioinformatics, and our projects include both computational aspects (data aggregation and processing, multidimensional data analysis, network-based methods, systems theory approaches, deep learning, etc.) as well as wet-lab experiments (in particular in-vivo testing of the computationally predicted interventions). Broadly speaking, our mission is to use and develop computational tools, with the goal of enhancing our knowledge and understanding of the aging process.
If you would like to read more about our group, please visit our page at aging-research.group.