European Journal of Molecular Biotechnology

14-23

Authors: Fabio Huether, Ignat Ignatov, Nedyalka Valcheva, Georgi Gluhchev

Scientific evidence of Ignat Ignatov and Oleg Mosin show that in the mountain areas in Bulgaria, where the scientific and practical project “Nature, Ecology, Longevity” is held, one can meet 104 years old centenarians. In the field areas at a distance of only about 50-70 km, the oldest person is 97 years old. We have reasons to give these facts some thought. The difference is in the water, the air and the physical activity. In the mountains people drink water from springs. This water is “active”. When you drink water from the source itself, the water molecules are more dynamic and it is “tastier, more energy-filled and more alive”. In biophysics it is known that movement is life. Therefore, people who are active, live longer. They also feel the water more strongly, a water that is like an elixir even after the first sips from the spring. Everyone should ask themselves: “How can we have such water in our homes?” The research shows that tap water has low level of energy of hydrogen bonds among water molecules.

35-41

Authors: Pavel A. Krylov, Elena O. Gerasimova, Yulia A. Shatyr, Alexander B. Mulik, Valery V. Novochadov

The algorithm has been developed for virtual screening of protein polymorphisms that perform various biological functions, primarily related to the regulation of mechanisms at various levels of organization: systemic, cellular, and molecular. The algorithm was developed using the Python v. 3.6.5 programming language in the PyCharm environment. The algorithm includes an automatic search for articles and displays a list that mentions a protein or polymorphism involved in a particular process for specified keywords in PubMed Central. The identified protein and its information are then used to work with the dbSNP database. The algorithm allows sorting polymorphisms according to the following key criteria: whether this polymorphism has been studied or not, whether there is information about its clinical manifestations, the localization of the polymorphism, and the frequency occurrence. The algorithm was tested on the analysis of polymorphisms of the ACAN gene, previously found by automatic search, by keywords characteristic of the functional features of this gene. As a result, the developed algorithm for virtual screening allowed us to identify polymorphisms of the ACAN gene, according to the stated selection criteria: the total number of polymorphisms (130), their localization in structural and functional domains and in coding (85) or non-coding (52) regions of the gene, as well as the presence of clinical manifestations (136). In the future, the optimization of the algorithm will allow us to obtain more detailed information about certain protein polymorphisms, which will allow us to solve problems in biomedicine, pharmaceuticals, and other biotechnological industries.