(only written in English)

Book chapters

1. V. E. Kuz'min, A. G. Artemenko, E. N. Muratov, L. N. Ognichenko, A. I. Hromov, A. V. Liahovskij and P. G. Polischuk. The Hierarchic Informational Technology for QSAR Investigations. Molecular Design of Antiviral Compounds In National Institute of Allergy and Infectious Diseases, National Institutes of Health: Frontiers in Research, V. S. Georgiev, K. A. Western and J. J. McGowan, Eds. Humana Press: Totowa, 2008; Vol. 1, pp 163-177.

2. V. E. Kuz’min, A. G. Artemenko, E. N. Muratov, P. G. Polischuk, L. N. Ognichenko, A. V. Liahovsky, A. I. Hromov and E. V. Varlamova. Virtual screening and molecular design based on hierarchical QSAR technology. In Recent Advances in QSAR Studies, J. L. T. Puzyn, M. Cronin, Ed. Springer: London, 2010; pp 127-176.

3. L. N. Ognichenko, V. E. Kuz'min, L. Gorb, E. N. Muratov, А. G. Artemenko, N. A. Kovdienko, P. G. Polishchuk, F. C. Hill and J. Leszczynski. New Advances in QSPR/QSAR Analysis of Nitrocompounds: Solubility, Lipophilicity and Toxicity. In Practical Aspects of Computational Chemistry II: An Overview of the Last Two Decades and Current Trends, J. Leszczynski and M. K. Shukla, Eds. Springer: 2012; pp 279-334.

4. N. Y. Golovenko, I. Y. Borisyuk, М. А. Kulinskiy, P. G. Polishchuk, E. N. Мuratov and V. Е. Кuzmin. Quantitative structure-pharmacokinetic relationships of drugs within the framework of biopharmaceutics classification system by using simplex representation of molecular structure. In Applications of Computational Techniques in Pharmacy and Medicine, L. Gorb, V. Kuz’min and E. Muratov, Eds. Springer: 2014; pp 461-500.


1. V. E. Kuz’min, A. G. Artemenko, P. G. Polischuk, E. N. Muratov, A. I. Khromov, A. V. Liahovskiy, S. A. Andronati and S. Y. Makan. Hierarchic System of QSAR Models (1D-4D) on the Base of Simplex Representation of Molecular Structure Journal of Molecular Modelling 2005, 11, 457-467. -

2. V. E. Kuz’min, P. G. Polischuk, A. G. Artemenko, S. Y. Makan and S. A. Andronati. Quantitative structure-affinity relationship of 5-HT1A receptor ligands by the classification tree method SAR & QSAR in Environmental Research 2008, 19, 213-244. -

3. P. G. Polischuk, E. N. Muratov, A. G. Artemenko, O. G. Kolumbin, N. N. Muratov and V. E. Kuz'min. Application of Random Forest method to QSAR prediction of aquatic toxicity. Journal of Chemical Information and Modeling 2009, 49, 2481-2488. -

4. N. A. Kovdienko, P. G. Polishchuk, E. N. Muratov, A. G. Artemenko, V. E. Kuz’min, L. Gorb, F. Hill and J. Leszczynski. Application of Random Forest and Multiple Linear Regression Techniques to QSPR Prediction of an Aqueous Solubility for Military Compounds. Molecular Informatics 2010, 29, 394-406. -

5. E. N. Muratov, A. G. Artemenko, E. V. Varlamova, P. G. Polischuk, V. P. Lozitsky, A. S. Fedtchuk, R. L. Lozitska, T. L. Gridina, L. S. Koroleva, V. N. Sil'nikov, A. S. Galabov, V. A. Makarov, O. B. Riabova, P. Wutzler, M. Schmidtke and V. E. Kuz’min. Per aspera ad astra: application of Simplex QSAR approach in antiviral research. Future Medicinal Chemistry 2010, 2, 1205-1226. -

6. I. Sushko, S. Novotarskyi, R. Korner, A. K. Pandey, A. Cherkasov, J. Li, P. Gramatica, K. Hansen, T. Schroeter, K. Muller, L. Xi, H. Liu, X. Yao, T. Oberg, F. Hormozdiari, P. Dao, C. Sahinalp, R. Todeschini, P. Polishchuk, A. Artemenko, V. Kuz’min, T. M. Martin, D. M. Young, D. Fourches, E. Muratov, A. Tropsha, I. Baskin, D. Horvath, G. Marcou, C. Muller, A. Varnek, V. V. Prokopenko and I. V. Tetko. Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set. Journal of Chemical Information and Modeling 2010, 50, 2094–2111. -

7. A. A. Krysko, G. V. Samoylenko, P. G. Polishchuk, S. A. Andronati, T. A. Kabanova, T. M. Khristova, V. E. Kuz'min, V. M. Kabanov, O. L. Krysko, A. A. Varnek and R. Y. Grygorash. RGD mimetics containing phthalimidine fragment, novel ligands of fibrinogen receptor. Bioorganic & Medicinal Chemistry Letters 2011, 21, 5971–5974. -

8. V. E. Kuz’min, P. G. Polishchuk, A. G. Artemenko and S. A. Andronati. Interpretation of QSAR models based on Random Forest method. Molecular Informatics 2011, 30, 593-603. -

9. E. N. Muratov, E. V. Varlamova, A. G. Artemenko, P. G. Polishchuk and V. E. Kuz’min. Existing and Developing Approaches for QSAR Analysis of Mixtures. Molecular Informatics 2012, 31, 202-221. -

10. L. N. Ognichenko, V. E. Kuz’min, L. Gorb, F. C. Hill, A. G. Artemenko, P. G. Polischuk and J. Leszczynski. QSPR Prediction of Lipophilicity for Organic Compounds Using Random Forest Technique on the Basis of Simplex Representation of Molecular Structure. Molecular Informatics 2012, 31, 273-280. -

11. I. Oprisiu, E. Varlamova, E. Muratov, A. Artemenko, G. Marcou, P. Polishchuk, V. Kuz'min and A. Varnek. QSPR Approach to Predict Nonadditive Properties of Mixtures. Application to Bubble Point Temperatures of Binary Mixtures of Liquids. Molecular Informatics 2012, 31, 491-502. -

12. O. G. Kolumbin, L. N. Ognichenko, A. G. Artemenko, P. G. Polischuk, М. A. Kulinsky, Е. N. Мuratov, V. E. Kuz’min and V. A. Bobeica. Nonexperimental screening of the water solubility, lipophilicity, bioavailability, mutagenicity and toxicity of various pesticides with QSAR models aid. Chemistry Journal of Moldova. General, Industrial and Ecological Chemistry. 2013, 8, 95-100. -

13. A. A. Krysko, G. V. Samoylenko, P. G. Polishchuk, M. S. Fonari, V. C. Kravtsov, S. A. Andronati, T. A. Kabanova, J. Lipkowski, T. M. Khristova, V. E. Kuz’min, V. M. Kabanov, O. L. Krysko and A. A. Varnek. Synthesis, biological evaluation, X-ray molecular structure and molecular docking studies of RGD mimetics containing 6-amino-2,3-dihydroisoindolin-1-one fragment as ligands of integrin αIIbβ3. Bioorganic & Medicinal Chemistry 2013, 21, 4646-4661. -

14. E. N. Muratov, E. V. Varlamova, A. G. Artemenko, P. G. Polishchuk, L. Nikolaeva-Glomb, A. S. Galabov and V. E. Kuz’min. QSAR analysis of poliovirus inhibition by dual combinations of antivirals. Structural Chemistry 2013, 24, 1665-1679. -

15. P. G. Polishchuk, V. E. Kuz'min, A. G. Artemenko and E. N. Muratov. Universal Approach for Structural Interpretation of QSAR/QSPR Models. Molecular Informatics 2013, 32, 843-853. -

16. P. G. Polishchuk, T. I. Madzhidov and A. Varnek. Estimation of the size of drug-like chemical space based on GDB-17 data. Journal of Computer-Aided Molecular Design 2013, 27, 675-679. -

17. T. I. Madzhidov, P. G. Polishchuk, R. I. Nugmanov, A. V. Bodrov, A. I. Lin, I. I. Baskin, A. A. Varnek and I. S. Antipin. Structure-Reactivity Relationships in Terms of the Condensed Graphs of Reactions Russian Journal of Organic Chemistry 2014, 50, 459-463. -

18. E. Mokshyna, V. I. Nedostup, P. G. Polischuk and V. E. Kuzmin. ‘Quasi-Mixture’ Descriptors for QSPR Analysis of Molecular Macroscopic Properties. The Critical Properties of Organic Compounds. Molecular Informatics 2014, 33, 647-654. -

19. E. Mokshyna, P. G. Polishchuk, V. I. Nedostup and V. E. Kuzmin. Predictive QSPR Modelling for the Second Virial Coefficient of the Pure Organic Compounds. Molecular Informatics 2015, 34, 53-59. -

20. P. G. Polishchuk, G. V. Samoylenko, T. M. Khristova, O. L. Krysko, T. A. Kabanova, V. M. Kabanov, A. Y. Kornylov, O. Klimchuk, T. Langer, S. A. Andronati, V. E. Kuz’min, A. A. Krysko and A. Varnek. Design, Virtual Screening, and Synthesis of Antagonists of αIIbβ3 as Antiplatelet Agents. Journal of Medicinal Chemistry 2015, 58, 7681-7694. -

21. O. V. Tin’kov, P. G. Polishchuk, A. G. Artemenko and V. E. Kuz’min. QSAR Investigation of Acute Toxicity of Organic Acids and their Derivatives Upon Intraperitoneal Injection in Mice. Pharmaceutical Chemistry Journal 2015, 49, 104-110. -

22. E. Mokshyna, P. Polishchuk, V. Nedostup and V. Kuz'min. QSPR-Modeling for the Second Virial Cross-Coefficients of Binary Organic Mixtures. International Journal of Quantitative Structure-Property Relationships (IJQSPR) 2016, 1, 72-84. -

© Pavel Polishchuk 2010-2017