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 University Place GEC 145
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Mount Sinai School of Medicine, New York University, Ph.D.
Novosibirsk State University, M.S.,  Cell Biology and Genetics

Research Interests

Bioinformatics. Integration and analysis of various proteomic and genomic datasets. Development of user-friendly stand-alone and web-based software for the analysis of proteomic and genomic data. Cancer genomics.

Additional Information


EPI551, SPH332



J.S.Wei, S.Zhang, I.B.Kuznetsov, et al, 2017, RNAseq identified immune signatures associated with adverse outcome in high-risk neuroblastomas. Proceedings of the American Association for Cancer Research Annual Meeting, Washington, D.C., p.447.

I.B.Kuznetsov, 2016, Identification of non-random sequence properties in groups of signature peptides obtained in random sequence peptide microarray experiments. Biopolymers: Peptide Science, 106:318-329

I.B.Kuznetsov and M.McDuffie, 2015, PR2ALIGN: a stand-alone software program and a web-server for protein sequence alignment using weighted biochemical properties of amino acids. BMC Research Notes, 8:187.

I.B.Kuznetsov, 2011, Protein sequence alignment with family-specific amino acid similarity matrices. BMC Research Notes, 4:296

I.B.Kuznetsov, M.McDuffie, and R.Moslehi, 2009, A web-server for inferring the human
N-acetyltransferase-2 (NAT2) enzymatic phenotype from NAT2 genotype. Bioinformatics, 25(9):1185-1186.

I.B.Kuznetsov, 2008, Ordered conformational change in the protein backbone: prediction of conformationally variable positions from sequence and low-resolution structural data.
Proteins: Structure, Function and Bioinformatics, 72(1):74-87.

S.Hwang, Z.Gou and I.B.Kuznetsov, 2007, DP-Bind: a web-server for sequence-based prediction of DNA-binding residues in DNA-binding proteins. Bioinformatics, 23(5):634-636.

I.B.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.

I.B.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.B.Kuznetsov and S.Rackovsky, 2003, On the properties and sequence context of structurally ambivalent fragments in proteins. Protein Science, 12:2420-2433.