Zakharov AV - Search Results

1

Programmable Nucleic Acid Based Polygons with Controlled Neuroimmunomodulatory Properties for Predictive QSAR Modeling.

Johnson MB, Halman JR, Satterwhite E, Zakharov AV, Bui MN, Benkato K, Goldsworthy V, Kim T, Hong E, Dobrovolskaia MA, Khisamutdinov EF, Marriott I, Afonin KA. Johnson MB, et al. Among authors: zakharov av. Small. 2017 Nov;13(42):10.1002/smll.201701255. doi: 10.1002/smll.201701255. Epub 2017 Sep 18. Small. 2017. PMID: 28922553 Free PMC article.

2

Artificial Immune Cell, AI-cell, a New Tool to Predict Interferon Production by Peripheral Blood Monocytes in Response to Nucleic Acid Nanoparticles.

Chandler M, Jain S, Halman J, Hong E, Dobrovolskaia MA, Zakharov AV, Afonin KA. Chandler M, et al. Among authors: zakharov av. Small. 2022 Nov;18(46):e2204941. doi: 10.1002/smll.202204941. Epub 2022 Oct 10. Small. 2022. PMID: 36216772 Free PMC article.

3

Novel HIV-1 Integrase Inhibitor Development by Virtual Screening Based on QSAR Models.

Guasch L, Zakharov AV, Tarasova OA, Poroikov VV, Liao C, Nicklaus MC. Guasch L, et al. Among authors: zakharov av. Curr Top Med Chem. 2016;16(4):441-8. doi: 10.2174/1568026615666150813150433. Curr Top Med Chem. 2016. PMID: 26268340 Review.

4

QSAR Modeling and Prediction of Drug-Drug Interactions.

Zakharov AV, Varlamova EV, Lagunin AA, Dmitriev AV, Muratov EN, Fourches D, Kuz'min VE, Poroikov VV, Tropsha A, Nicklaus MC. Zakharov AV, et al. Mol Pharm. 2016 Feb 1;13(2):545-56. doi: 10.1021/acs.molpharmaceut.5b00762. Epub 2016 Jan 5. Mol Pharm. 2016. PMID: 26669717

5

Rational Use of Heterogeneous Data in Quantitative Structure-Activity Relationship (QSAR) Modeling of Cyclooxygenase/Lipoxygenase Inhibitors.

Lagunin AA, Geronikaki A, Eleftheriou P, Pogodin PV, Zakharov AV. Lagunin AA, et al. Among authors: zakharov av. J Chem Inf Model. 2019 Feb 25;59(2):713-730. doi: 10.1021/acs.jcim.8b00617. Epub 2019 Feb 12. J Chem Inf Model. 2019. PMID: 30688458

6

Novel Consensus Architecture To Improve Performance of Large-Scale Multitask Deep Learning QSAR Models.

Zakharov AV, Zhao T, Nguyen DT, Peryea T, Sheils T, Yasgar A, Huang R, Southall N, Simeonov A. Zakharov AV, et al. J Chem Inf Model. 2019 Nov 25;59(11):4613-4624. doi: 10.1021/acs.jcim.9b00526. Epub 2019 Oct 25. J Chem Inf Model. 2019. PMID: 31584270 Free PMC article.

7

Synthesis, antifungal activity and QSAR study of 2-arylhydroxynitroindoles.

Kokurkina GV, Dutov MD, Shevelev SA, Popkov SV, Zakharov AV, Poroikov VV. Kokurkina GV, et al. Among authors: zakharov av. Eur J Med Chem. 2011 Sep;46(9):4374-82. doi: 10.1016/j.ejmech.2011.07.008. Epub 2011 Jul 19. Eur J Med Chem. 2011. PMID: 21802177

8

QSAR modeling of imbalanced high-throughput screening data in PubChem.

Zakharov AV, Peach ML, Sitzmann M, Nicklaus MC. Zakharov AV, et al. J Chem Inf Model. 2014 Mar 24;54(3):705-12. doi: 10.1021/ci400737s. Epub 2014 Feb 28. J Chem Inf Model. 2014. PMID: 24524735 Free PMC article.

9

QSAR Modeling Using Large-Scale Databases: Case Study for HIV-1 Reverse Transcriptase Inhibitors.

Tarasova OA, Urusova AF, Filimonov DA, Nicklaus MC, Zakharov AV, Poroikov VV. Tarasova OA, et al. Among authors: zakharov av. J Chem Inf Model. 2015 Jul 27;55(7):1388-99. doi: 10.1021/acs.jcim.5b00019. Epub 2015 Jun 29. J Chem Inf Model. 2015. PMID: 26046311 Free PMC article.

10

Chemical toxicity prediction for major classes of industrial chemicals: Is it possible to develop universal models covering cosmetics, drugs, and pesticides?

Alves VM, Muratov EN, Zakharov A, Muratov NN, Andrade CH, Tropsha A. Alves VM, et al. Food Chem Toxicol. 2018 Feb;112:526-534. doi: 10.1016/j.fct.2017.04.008. Epub 2017 Apr 12. Food Chem Toxicol. 2018. PMID: 28412406 Free PMC article.

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