Abstract
The first aim of the paper is to investigate whether the very promising method of data analysis (the Big Data Analysis, further called BDA) – used now across various domains – can serve for information technologies in medicine, in the area of planning pathways of organic syntheses. The eventual usage of BDA in the field stated is meant within a speculation – synthesis of new drugs. Therefore characteristic features of BDA are here briefly discussed; they are commonly marked by (five) letters V, coming from the following concepts: Volume, Velocity, Variety, Veracity, Value. In the research performed it was found that BDA unfortunately seems to have rather restricted applicability in planning of chemical compounds; rather we have to focus in details of a single, chosen reaction. Therefore in a second part of the paper – in its core – the Achmatowicz reaction is selected to expose the required ingenuity in organic synthesis. As a pattern for discussion, the structure of Bao Gong Tung A molecule, a novel natural product showing strong antiglaucoma properties, was fixed.
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Hippe, Z.S., Niemiec, R. (2019). New Challenges for Information Technologies in Medicine: Big Data Analysis?. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2018. Advances in Intelligent Systems and Computing, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-91211-0_45
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DOI: https://doi.org/10.1007/978-3-319-91211-0_45
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