Igor Kuznetsov, Ph.D.
SUNY Associate Professor
Department of Epidemiology and Biostatistics
Center for Excellence in
One Discovery Dr., rm.206
Rensselaer, NY 12144
Phone: (518) 591-7156
Mount Sinai School
of Medicine, New York
University, M.S., Genetics
Computational analysis of genomic data.
Applying a variety of methods from statistics, information theory, and
supervised and unsupervised classification methods to develop bioinformatics
tools that can be used in genome research to study properties of biological
macromolecules, such as DNA and proteins, and their role in various human
‘Principles of Bioinformatics’ (BIO540)
‘Advanced Topics in Bioinformatics’ (STA670/BIO603/CSI660
Selected Publications and Presentations:
1. I.Kuznetsov and S.Rodin, 1995, Comparative
computational analysis of thermodynamic parameters of the transfer RNA
secondary structure. Genetika,
2. I.Kuznetsov and P.Morozov, 1996, GEOMETRY: a
software package for nucleotide sequence analysis using statistical geometry in
sequence space. Bioinformatics (CABIOS),
3. I.Kuznetsov, P.Morozov, Yu.Matushkin, 1997, Prion
proteins: evolution and preservation of secondary structure. FEBS Letters, 412:429-432.
4. I.Kuznetsov and S.Rackovsky, 2002, Discriminative
ability with respect to amino acid types: assessing the performance of
knowledge-based potentials without threading. Proteins: Structure, Function and Genetics, 49:266-284.
5. I.Kuznetsov and S.Rackovsky, 2003, O the
properties and sequence context of structurally ambivalent fragments in
proteins. Protein Science, 12:2420-2433.
6. I.Kuznetsov and S.Rackovsky, 2003, Similarity
between the C-terminal domain of the prion protein and chimpanzee
cytomegalovirus glycoprotein UL9. Protein
Engineering, 16(12): 861-863.
7. I.Kuznetsov and S.Rackovsky, 2004, Class-specific
correlations between protein folding rate, structure-derived and
sequence-derived descriptors. Proteins:
Structure, Function and Bioinformatics, 54:333-341.
8. I.Kuznetsov and S.Rackovsky, 2004, Comparative computational analysis of prion
proteins reveals two fragments with unusual structural properties and a pattern
of increase in hydrophobicity associated with disease-promoting mutations. Protein
9. I.Kuznetsov, Z.Gou, R.Li, S.Hwang, 2006, Using evolutionary
and structural information to predict DNA-binding sites on DNA-binding
proteins. Proteins: Structure, Function
and Bioinformatics, 64(1):19-27.
10. I.Kuznetsov and S.Hwang, 2006, A novel sensitive
method for the detection of user-defined compositional bias in biological