Igor Kuznetsov

Igor Kuznetsov, PhD

Bioinformatics. Application of computational and statistical methods to problems in genomics and proteomics.

The World Within Reach
Igor Kuznetsov, PhD
Associate Professor

School of Public Health
Department: Epidemiology and Biostatistics

One Discovery Dr. 206
Personal Pages: http://www.albany.edu/sph/19605.php



Mount Sinai School of Medicine, New York University, Ph.D.,Biomathematics
Novosibirsk State University, M.S., Genetics

Research Interests

Bioinformatics. Application of computational and statistical methods to problems in genomics and proteomics. 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 diseases.

Additional Information

Frequently taught courses:

‘Principles of Bioinformatics’ (BIO540), ‘Advanced Topics in Bioinformatics’ (STA670/BIO603/CSI660


  • I.Kuznetsov and S.Rodin, 1995, Comparative computational analysis of thermodynamic parameters of the transfer RNA secondary structure. Genetika, 31:1566-1574.
  • I.Kuznetsov and P.Morozov, 1996, GEOMETRY: a software package for nucleotide sequence analysis using statistical geometry in sequence space. Bioinformatics (CABIOS), 12:297-301.
  • I.Kuznetsov, P.Morozov, Yu.Matushkin, 1997, Prion proteins: evolution and preservation of secondary structure. FEBS Letters, 412:429-432.
  • 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.
  • I.Kuznetsov and S.Rackovsky, 2003, O the properties and sequence context of structurally ambivalent fragments in proteins. Protein Science, 12:2420-2433.
  • 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.
  • 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.
  • 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 Science, 13:3230-3244.
  • 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.
  • I.Kuznetsov and S.Hwang, 2006, A novel sensitive method for the detection of user-defined compositional bias in biological sequences. Bioinformatics, 22(9):1055-1063.