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  1. Leo A, Hansch C, Church C 
    Comparison of parameters currently used in the study of SARS 
    J. Med. Chem. 1969, 12, 766-771

  2. Balakin K, Savchuk N 
    Computational Methods for Analysis of High-Throughput Screening Data 
    Curr. Comput.-Aid. Drug Disc., January 2005, in press

  3. Balakin, KV; Tkachenko, SE; Lang, SA; Okun, I; Ivashchenko, AI; Savchuk, NP 
    Property-Based Design of GPCR-Targeted Library 
    J. Chem. Inf. Comput. Sci. 2002, 42, 1332-1342

  4. Balakin KV, Lang SA, Skorenko AV, Tkachenko SE, Ivashchenko AA, Savchuk NP 
    Structure-based versus property-based approaches in the design of GPCR targeted libraries 
    J. Chem. Inf. Comput. Sci. 2003, 43, 1553-1562

  5. Savchuk NP, Tkachenko SE, Balakin KV 
    Rational design of GPCR-specific combinatorial libraries based on the concept of privileged Substructures 
    In T Oprea, ed. Cheminformatics in Drug Discovery. Weinheim: Wiley VCH. 2004, in press

  6. Lang SA, Kozyukov AV, Balakin KV, Skorenko AV, Ivashchenko AA, Savchuk NP 
    Classification scheme for the design of serine protease targeted compound libraries 
    J. Comput. Aided Mol. Des. 2002, 16, 803-807

  7. Nikolsky Y, Balakin KV, Ivanenkov YA, Ivashchenko AA, Savchuk NP 
    Intelligent machine learning technologies in pre-synthetic combinatorial design 
    PharmaChem 2003, 4, 68-72

  8. Savchuk NP, Balakin KV 
    Data Mining Approaches for Enhancement of Knowledge-Based Content of De Novo Chemical Libraries. In H. Alvarez, B. Shoichet, eds. 
    Virtual Screening in Drug Discovery. New York: Marcel Dekker. 2004, in press

  9. Ivanenkov YA, Balakin KV, Savchuk NP, Ivashchenko AA, Skorenko AV, Nikolsky YV 
    Advanced Data Mining Tools for Compounds Libraries 
    European Biotechnology News. 2003, 2

  10. Raevsky OA, Trepalin SV, Trepalina HP, Gerasimenko VA, Raevskaya OE 
    SLIPPER-2001 – Software for Predicting Molecular Properties on the Basis of Physicochemical Descriptors and Structural Similarity 
    J. Chem. Inf. Comput. Sci. 2002, 42, 540-549

  11. Balakin KV; Savchuk NS 
    Advanced data mining technologies 
    Manufact. Chem. 01 Aug, 2004

  12. Nikolsky Y, Balakin KV, Ivanenkov YA, Ivashchenko AA, Savchuk NP
    Intelligent machine learning technologies in pre-synthetic combinatorial design   
    PharmaChem 2003; 4: 68-72

  13. Savchuk NP 
    In silico ADME-Tox as part of an optimization strategy 
    Curr. Drug Disc. 2003, 4, 17-22

  14. Balakin KV, Konarkowski HAE., Skorenko AV, Stepanov VA, Ivashchenko AA, Savchuk NP 
    Blood-Brain Barrier Permeability Modeling Using Machine Learning Technologies 
    LaborWelt (LabWorld). 4, 24-25

  15. Balakin KV, Ekins S, Bugrim A, Ivanenkov YA, Korolev D, Nikolsky YV, Skorenko AV, Ivashchenko AA, Savchuk NP, Nikolskaya T 
    Kohonen maps for prediction of binding to human cytochrome P450 3A4 
    Drug Metab. Dispos. 2004, 32, 1183-1189

  16. Korolev D, Balakin KV, Nikolsky Y, Kirillov E, Ivanenkov YA, Savchuk NP, Ivashchenko AA, Nikolskaya T 
    Modeling of human cytochrome P450-mediated drug metabolism using unsupervised machine learning approach 
    J. Med. Chem. 2003, 46, 3631-3643

  17. Balakin KV, Ekins S, Bugrim A, Ivanenkov YA, Korolev D, Nikolsky YV, Ivashchenko AA, Savchuk, NP, Nikolskaya T 
    Quantitative structure-metabolism relationship modeling of metabolic N-dealkylation reaction rates 
    Drug Metab. Dispos. 2004, 32, 1111-1120

  18. Balakin KV 
    DMSO solubility and bioscreening 
    Current Drug Disc. 2003, 8, 27-30

  19. Savchuk NP. 
    Advanced chemoinformatics tools for determination of optimal storing conditions of drug-like compounds 
    Presented at the Drug Discovery Technology Congress, Compound Inventory Management Section, Boston, 2003

  20. Balakin KV, Ivanenkov YA, Skorenko AV, Nikolsky YV, Savchuk NP, Ivashchenko AA 
    In silico estimation of DMSO solubility of organic compounds for bioscreening 
    J. Biomol. Screen. 2004, 9, 22-31

  21. Balakin KV, Lang SA, Tkachenko SE, Ivashchenko AA, Savchuk NP 
    Pre-synthetic combinatorial design: Trends toward intelligent computational technologies 
    Chemistry Today. 2003, 21
 
 
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