Our early work was directed toward solving important questions in protein fluorescence spectroscopy.
We have developed novel mathematical algorithms of spectral data analysis, which allow decomposing
complex spectral profile of proteins (mostly containing more than one tryptophan residue) into
individual components. Statistical approaches of multivariate analysis could be applied to classify and
assign spectral components to the protein structural features obtained in the result of analysis of atomic
structures of proteins from Protein Data Bank. All algorithms are implemented into web-based toolkit
PFAST: Protein Fluorescence And Structural Toolkit:www.pfast.phys.uri.edu
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