Currently the scientific literature has accumulated an enormous amount of data on different aspects of human ageing, which are largely not yet been systematized and formalized. In this connection it is proposed to allocate from the bioinformatics section of biology as a separate subsection entitled "Age bioinformatics” for the individuals of different species. In particular, “Age bioinformatics of the person" can be defined as an interdisciplinary field, located at the intersection of bioinformatics, gerontology and geriatrics, studying age-related changes of the person of elderly and senile age with the help of computers based on the creation of specialized information databases and systems analysis using different methods applied statistics and mathematics, including methods of artificial intelligence [1]. The practical way out of this trend in gerontology should be to formulate recommendations for the creation of new geriatric means of prophylaxis and treatment of elderly and senile ages, and also to clarify the mechanisms of ageing of the person.
    Special value in age bioinformatics of the person is played by preliminary structurization of the data and their formalized description. For this purpose it is necessary to create appropriate databases of age changes of the person, a specialized language for the formalized description of these changes, detailed schemes of ageing of the person on different levels of its organization. At present there are several such schemes [1,2] based on the graphical language Cmap Tools [3].
    One of differences of the scheme of ageing offered by me [2] from existing schemes is its modular principle. The second difference is that in her age-related changes are seen not only from molecular-cellular level and then spread to a higher level, but also, on the contrary, with the organismal level and then on to the following levels.
    At present in this scheme 45 specialized modules are allocated, including: factors damaging DNA; the molecular processes of destruction DNA; age changes the properties of nucleic acids, proteins; changes in functional activity of genes, proteins; factors synthesis of DNA, RNA, protein, energy-containing molecules, cellular membranes; factors of cell differentiation, mitosis, apoptosis, cell movement and migration; age-related changes biochemical, physiological, morphological, cellular, immunological; biomarkers of ageing and etc. In the future some of these modules must be linked with the corresponding genetic networks [4].
    Except drawing up of schemes of ageing, now is actively working on filling created a database of age changes of the person on the basis of standard DBMS Access and Visual Fox Pro using the methods of artificial intelligence and developed a specialized language GERON [1,5].
References:
1. B.A. Kaurov. (2009) On the application of new information technologies in gerontology. Science and Innovation. Academy of Sciences of Belarus, N 8 (78): 15-17.
2. B.A. Kaurov. (2009) New scheme of ageing of the person. VI Scientific and Practical Conference "Society, State and medicine for the elderly." Moscow: 31-32.
3. D.I. Muromtsev. (2009) Conceptual modeling of knowledge in system Cmap Tools. Petersburg. SPb SU ITMO: 83.
4. N.A. Kolchanov et al. (2005) The integration of gene networks that control the physiological functions of the organism. Bulletin VOGiS., v. 9, N 2: 179-198.
5. B.A. Kaurov. (2009) About the formalized system model of ageing of the person. Informatics and managerial systems, N 4 (22) : 26-28.

Опубликовано: http://ageing-not.narod.ru/page5_37.html, 21.10.10
Источник: "BGRS\SB-2010. The 7th International Conference on Bioinformatics of Genome Regulation and Structure\Systems Biology". Novosibirsk, Russia, June 20-27, 2010, p.128.