Abstract
The problems of storing, systematization, and accounting for data, accumulated in the process of research on the three-dimensional structure of proteins have been considered in the paper. The main purpose of this paper is to present a new biological information system for mathematical research with cognitive elements. The processes of preparing and carrying out a mathematical analysis have been studied During the design and development of the information system, the processes of preparing and conducting mathematical analysis, topology analysis, triangulation and generation of the foliation of molecular surfaces, diagramming and further interpretation of the analysis results were studied in order to determine the areas of the molecule that can be involved in interaction with other molecules, a structural model in the form of a block model was built and developed schemes and algorithm of work. The resulting system prototype should ease the process of taking into account all of the data, obtained during research, as well as be useful for developing cognitive technologies.
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References
Yasnitsky, L.N.: Artificial intelligence and medicine: history, current state, and forecasts for the future. Curr. Hypertens. Rev. 16(3), 210–215 (2020)
Samsonovich, A.V., Shumsky, S.A., Karpov, V.E., Kotov, A.A., Kolonin, A.G.: Key advanced research initiative: a manifesto for the new-generation artificial intelligence. Procedia Comput. Sci. 213, 824–831 (2022)
Kondakov, A., Kulik, S.: Intelligent information system for telemedicine. Procedia Comput. Sci. 169, 240–243 (2020)
Protopopova, J., Kulik, S.: Educational intelligent system using genetic algorithm. Procedia Comput. Sci. 169, 168–172 (2020)
Kalishenko, E.L., Krinkin, K.V.: The system of topological modeling of the structure of protein molecules. Appl. Inform. 4(22), 114–124 (2009)
Samsonovich, A.V., Ascoli, G.A.: Cognitive map dimensions of the human value system extracted from natural language. In: Goertzel, B., Wang, P. (eds.) Frontiers in Artificial Intelligence and Applications, vol. 157, pp. 111–124. IOS Press (2007)
Finkelstein, A.V., Ptitsyn, O.B.: Protein Physics: A Course of Lectures with Color and Stereoscopic Illustrations and Tasks, 3rd edn. KDU, Moscow (2012)
Retyunskaya, A.K.: Research laboratory work on the topic topological properties of figures. Mobius Leaf Quest. Pedagogy 4(1), 213–217 (2020)
Shaitan, K.V., et al.: Algorithms and methods for the study of three-dimensional atomistic models of protein molecules based on the analysis of the scattering pattern of high-power X-ray laser radiation. Nanostruct. Math. Phys. Model. 9(2), 33–74 (2013)
Fomenko, A.T., Qishang, H.: On the topology of three-dimensional manifolds arising in Hamiltonian mechanics. Rep. Acad. Sci. USSR 294(2), 283–287 (1986)
Novikov, D.V.: Topology of features of integrable Hamiltonian systems with non-compact level surfaces. Dissertation for the Degree of Candidate of Physical and Mathematical Sciences, Moscow State University (2013)
Bolsinov, A.V., Richter, P.H., Fomenko, A.T.: The method of circular molecules and the topology of the Kovalevskaya top. Math. Collect. 191(2), 3–42 (2000)
Kharlamov, M.P.: Topological Analysis of Integrable Problems of Rigid Body Dynamics. Leningrad University Press, Leningrad (1988)
Kulik, S.D., Shtanko, A.N.: Experiments with neural net object detection system YOLO on small training datasets for intelligent robotics. In: Mechanisms and Machine Science, vol. 80, pp. 157–162 . Springer, Cham (2020)
Galushkin, A.I., Danilin, S.N., Shchanikov, S.A.: The research of memristor-based neural network components operation accuracy in control and communication systems In: 2015 International Siberian Conference on Control and Communications, SIBCON 2015—Proceedings, pp. 1–6 (2015)
Guseva, A.I., Silenko, A.N.: A study of the possibility of obtaining deposited coatings based on intermetallic titanium and aluminum compounds using the chemical vapor transport method. WSEAS Trans. Environ. Develop. 17, 1039–1045 (2021)
Kontsewaya, Y., Antonov, E., Artamonov, A.: Evaluating the effectiveness of machine learning methods for spam detection. Procedia Comput. Sci. 190, 479–486 (2021)
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This work was supported by the MEPhI Program Priority 2030.
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Bystrov, O.V., Kulik, S.D. (2024). Topological Analysis of Protein Surfaces and Its Role in the Development of New Medicines. In: Samsonovich, A.V., Liu, T. (eds) Biologically Inspired Cognitive Architectures 2023. BICA 2023. Studies in Computational Intelligence, vol 1130. Springer, Cham. https://doi.org/10.1007/978-3-031-50381-8_17
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DOI: https://doi.org/10.1007/978-3-031-50381-8_17
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