Biography

Dr. Natalja Fjodorova

National Institute of Chemistry, Slovenia


Email: natalja.fjodorova@ki.si


Research fields:

Computational Chemistry

Quantitative Structure Activity (Property) Relationships (QSA(P)R)

Structure Activity Relationships (SAR)

Neural Network Modeling, Chemoinformatics

Chemometrics, Chemical Descriptors

Quantum-mechanical Descriptors

Carcinogenicity

Mutagenicity

Toxicology

Chemical Risk Assessment

Chemical Regulation


Qualifications

1992 Ph.D., Department of Chemistry, St-Petersburg University of Technology and Design, Russia


Publications (Selected)

  1. FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana. Comparison of criteria used to access carcinogenicity in CPANN QSAR models versus the knowledge-based expert system Toxtree. SAR and QSAR in environmental research, ISSN 1062-936X, 2014, vol. 25, iss. 6, pp. 423-441, ilustr. http://www.tandfonline.com/doi/abs/10.1080/1062936X.2014.898687#.U2Ca6PO2g2U, doi: 10.1080/1062936X.2014.898687. [COBISS.SI-ID 5467674]

  2. FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana. Rodent carcinogenicity dataset : Dataset papers in medicine, 2013, vol. 2013, article ID 361615, pp. 1-6, doi: 10.1155/2013/361615. [COBISS.SI-ID 5175066] 

  3. TUŠAR, Marjan, MINOVSKI, Nikola, FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana. In silico assessment of adverse effects of a large set of 6-fluoroquinolones obtained from a study of tuberculosis chemotherapy. Current drug safety, ISSN 1574-8863, 2012, vol. 7, no. 4, pp. 313-320, ilustr. http://www.benthamscience.com/contents-JCode-CDS-Vol-00000007-Iss-00000004.htm. [COBISS.SI-ID 5129242]

  4. FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana. Integration of QSAR and SAR methods for the mechanistic interpretation of predictive models for carcinogenicity. Computational and Structural Biotechnology Journal, ISSN 2001-0370, 2012, vol. 1, iss. 2, pp. 1-10, doi: 10.5936/csbj.201207003. [COBISS.SI-ID 5069082]

  5. FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana, VRAČKO, Marjan, KHARCHEVNIKOVA, Nina, ZHOLDAKOVA, Zoya, SINITSYNA, Oxana, BENFENATI, Emilio. Regulatory assessment of chemicals within OECD member countries, EU and in Russia. Environ. carcinog. ecotoxicol. rev., 2008, vol. 26, issue 1, str. 40-88.

  6. FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana, VRAČKO, Marjan, SMIRNOV, Vjacheslav, KHARCHEVNIKOVA, Nina, ZHOLDAKOVA, Zoya, NAVIKOV, Sergei, SKVORTSOVA, Natalja, FILIMONOV, Dmitrii, POROIKOV, Vladimir, BENFENATI, Emilio. Directions in QSAR modeling for regulatory uses in OECD member countries, EU and in Russia. Environ. carcinog. ecotoxicol. rev., 2008, vol. 26, issue 2, str. 201-236.
  7. FJODOROVA, Natalja Stanislavovna, ZUPAN, Jure, NOVIČ, Marjana, VRAČKO, Marjan, TUŠAR, Marjan, DIANKOVA, Tamara. Neirosetevlie modeli dle prognozirovanie cvoistv himičeskih soedinenii = Neuron network models used for forcasting chemical compound properties. Him. volok., 2008, no. 3, str. 82-86.
  8. KHARCHEVNIKOVA, Nina, BLINOVA, V..., DOBRININ, D..., FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana, VRAČKO, Marjan. Intelllectual analysis of carcinogenicity of chemical compounds using DCM method. Naučno-teh. inf. - Vses. inst. naučn. teh. inf., Ser. 2, 2009, no. 11, str. 18-23.
  9. D´YACHKOV, Pavel Nikolaevich, KHARCHEVNIKOVA, Nina, ZHOLDAKOVA, Zoya, FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana, VRAČKO, Marjan. Quantum chemical metabolism-based simulation of carcinogenic potency of benzene derivatives. Int. j. quant. chem., 2010, issue 7, vol. 110, str. 1402-1411. http://www3.interscience.wiley.com/journal/122519048/abstract, doi: 10.1002/qua.22226.
  10. FJODOROVA, Natalja Stanislavovna, VRAČKO, Marjan, TUŠAR, Marjan, JEZIERSKA, Aneta, NOVIČ, Marjana, KÜHNE, Ralph, SCHÜÜRMANN, Gerrit. Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory uses. Molecular diversity, avg. 2010, vol. 14, no. 3, str. 581-594, ilustr., doi: 10.1007/s11030-009-9190-4.
  11. FJODOROVA, Natalja Stanislavovna, VRAČKO, Marjan, JEZIERSKA, Aneta, NOVIČ, Marjana. Counter propagation artificial neural networks categorical models for prediction of carcinogenicity for non-congeneric chemicals. SAR QSAR environ. res., 2010, vol. 21, no. 1-2, str. 57-75, doi: 10.1080/10629360903563250. [COBISS.SI-ID 4439578]
  12. FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana, DIANKOVA, Tamara. Optimization of pigment dyeing process of high performance fibers using feed-forward bottleneck neural networks mapping technique. Anal. chim. acta. [Print ed.], 2011, vol. 705, str. 148-154, doi: 10.1016/j.aca.2011.04.041.
  13. FJODOROVA, Natalja Stanislavovna, VRAČKO, Marjan, NOVIČ, Marjana, RONCAGLIONI, Alessandra, BENFENATI, Emilio. New public QSAR model for carcinogenicity. V: Workshop on QSAR models for reach, March 10-11, 2009, Milan, Italy, (Chemistry central journal, vol. 4, suppl. 1). Milan: Mario Negri Institute, 2009, 2010, vol. 4, supp. 1, str. 1-15. http://www.journal.chemistrycentral.com/content/4/S1/S3
  14. FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana. Some findings relevant to the mechanistic interpretation in the case of predictive models for carcinogenicity based on the counter propagation artificial neural network. J. comput.-aided mol. des., 2011, str. [1-11]. http://www.springerlink.com/content/cp62l416670u1735/, doi: 10.1007/s10822-011-9500-7.
  15. FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana, RONCAGLIONI, Alessandra, BENFENATI, Emilio. Evaluating the applicability domain in the case of classification predictive models for carcinogenicity based on the counter propagation artificial neural network. J. comput.-aided mol. des., 2011, str. [1-12]. http://www.springerlink.com/content/d04m663834762824/, doi: 10.1007/s10822-011-9499-9.
  16. FJODOROVA, Natalja Stanislavovna, NOVIČ, Marjana, DIANKOVA, Tamara. Optimization of pigment dyeing process of high performance fibers using feed-forward bottleneck neural networks mapping technique. Anal. chim. acta. [Print ed.], 31. okt. 2011, vol. 705, iss. 1/2, str. 148-154, ilustr., doi: 10.1016/j.aca.2011.04.041.


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Last Updated: 2015-7-7

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