PROTEIN STRUCTURE MOTIFS.
The increasing number of known protein structures gives an opportunity to understand better the relationship between sequence and the 3D super-secondary structures (or recurrent 3D folds). Test of the predictive power of such sequence/structure correlations is a subject of our investigations which may lead to development of an algorithm for protein structure prediction.
The structural knowledge also increase predictive power of sequence homology search, clustering of protein families and inference of biological function from amino acid sequences. Incorporation of structural information into the sequence database searches is an effective approach to find new evolutionary and functional relationships between proteins. Today, the identification of new protein domains and relationships between them is one of the most intense bioinformatics activities. In this area, we are working in close contact with experimenters. Our primary focus is proteins involved in cell cycle regulation.