Abstract—
An interpretation of the problem-oriented theory developed is given from different perspectives of quantum chemistry. It is shown that the results obtained within the developed formalism correspond to the solution of the single-electron Schrödinger equation on molecular fragments, to the additive scheme of electron density calculation in the density functional theory, and to the correction of the integrals of overlapping in the molecular orbital theory. The algorithms based on the developed formalism were tested on a sample of 134 thousand molecules, for which the highest occupied molecular orbital (HOMO) energy, the lowest unoccupied molecular orbital (LUMO) energy, the HOMO–LUMO gap energy, the rotational constants, etc., were calculated by the B3LYP/6-31G(2df,p) method of quantum-mechanical calculations. The cross-validation testing of linear and nonlinear models has resulted in rank correlations between calculated and experimental values within a range of 0.67–0.85. In this case, the speed of calculations by the developed algorithms is higher than for quantum-mechanical calculations by eight orders of magnitude. The developed algorithms can be used for large-scale screenings of molecules when solving the problems of molecular pharmacology and materials science.
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ACKNOWLEDGMENTS
The authors are grateful to O.A. Gromova (Federal Research Center “Computer Science and Control,” Russian Academy of Sciences) for useful discussions on expert data analysis.
Funding
This study was supported by the Russian Foundation for Basic Research, grant no. 19-07-00356.
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Ivan Yur’evich Torshin. Born in 1972. Candidate of Physics and Mathematics, Candidate of Chemistry, Associate Professor of the Moscow Institute of Physics and Technology, teacher in the Faculty of Computational Mathematics and Cybernetics of Moscow State University, senior researcher of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, and researcher of the Big Data Storage and Analysis Center of Moscow State University. Author of 520 papers in journals on informatics, medicine, chemistry, and biology and nine monographies, of which five are in Russian and four in English (in the series “Bioinformatics in the Post-Genomic Era,” Nova Biomedical Publishers, New York, 2006–2009).
Konstantin Vladimirovich Rudakov (1954–2021). Russian mathematician, Academician of the Russian Academy of Sciences, associate director of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (Dorodnitsyn Computational Center), head of the Faculty of Intelligent Systems of the Moscow Institute of Physics and Technology, and scientific supervisor of the Big Data Storage and Analysis Center of Moscow State University.
Translated by E. Glushachenkova
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Torshin, I.Y., Rudakov, K.V. Topological Chemograph Analysis Theory As a Promising Approach to Simulation Modeling of Quantum-Mechanical Properties of Molecules. Part II: Quantum-Chemical Interpretations of Chemograph Theory. Pattern Recognit. Image Anal. 32, 205–217 (2022). https://doi.org/10.1134/S1054661821040258
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DOI: https://doi.org/10.1134/S1054661821040258