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Abstract Genomics technologies have increased the quantities of data of aging and aging related disease. The ability to visual manipulate enormous biological data with help of interactive maps or pathways helps researchers to understand the complex conditions like disease onset and progression, and can help developing useful diagnostics and effective treatments. Aging is the gradual process of destructive alterations in all structural levels of an organism, from genes and proteins to organ systems. We have reconstructed collections of interactive signaling pathways that describe general molecular mechanisms of aging at the cellular lever, as well as development of specific aging-related diseases such as Alzheimer or Parkinson’s disease, and others. To build the pathway collection for Aging related diseases, ResNet (the database of 100000+ relations), Pathway Studio (data visualization and analysis tool), and Elsevier Text Mining (text mining and search tool) were used. Conclusion Aging disease pathways collection is the catalog containing all currently known facts about molecular bases of aging-related processes in humans, arranged in accessible format for use in biomedical research. The pathways collection is a powerful tool that can help building and browsing networks of biological aging. It helps in analyzing experimental model animals and patients’ data and in searching for relevant and specific scientific research results among big aging-related data for uncovering cause-effect relationships and integrating the facts. Even users unfamiliar with aging-related diseases can get a general idea: identify the proteins that are the major players, and see how potential drugs affect certain functions in the pathway and what the mechanism of action could be.
№ | Имя | Описание | Имя файла | Размер | Добавлен |
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1. | Полный текст | Poster | Pathways_to_understanding_brain_aging_-_Poster.pdf | 7,5 МБ | 18 ноября 2015 [KlimovEA] |