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To
understand cellular processes at several levels we employ approaches from
biology, physics, chemistry, mathematics, and computer science to work
on: |
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1) Methods of theoretical and computational analysis of biological macromolecules, including study of atomic interaction in protein and DNA structure, processes of protein folding and protein functionality, interaction a protein with ligands, another proteins, and DNA or RNA molecules;
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2) Methods of sequence alignment of protein and genes, clustering and statistical analysis of the families of macromolecules, gene annotation, exon-intron structure of genes and alternative splicing;
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3) Analysis of microarray expression data corresponding to a specific affect on set of genes or at different steps of organism (mouse embryos) grows;
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4) Development of computer front-end bioinformatics application for visualization and analysis of multiple protein structures, proteins and gene sequences, sequence alignments, to study sequence-structure-function relationship in biological macromolecules, to create user-friendly programming environment for inter-field research in bioinformatics, for effective use of bioinformatics methods by non-programmer scientists, and for effective teaching of computational methods of analysis of genomes and proteomes;
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5)
Large-scale computational effort for data-mining, protein modeling, gene
annotation and development and support of biomedical databases. |