Abstract
Methods of manual design of chemical syntheses of complex molecules are briefly discussed. Some hints on computer-aided planning of syntheses are also given. In experimental part, metabolic transformations of prostacyclin PGI2 in human body are predicted, using own research tool based on a matrix model of constitutional chemistry, enhanced by machine learning algorithms.
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References
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Acknowledgments
I would like to express deepest thanks to Prof. R. Gryglewski from Collegium Medicum J. University for generous and independent activity with testing syntetic pathways proposed by the CSB system.
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Hippe, Z.S. (2016). From the Research on Planning of Chemical Syntheses: Computer-Aided Modeling and Prediction of PGI2 Metabolic Reactions. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-319-39904-1_32
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DOI: https://doi.org/10.1007/978-3-319-39904-1_32
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