Ivan Mazoni

Learn More
Predicting enzyme class from protein structure parameters is a challenging problem in protein analysis. We developed a method to predict enzyme class that combines the strengths of statistical and data-mining methods. This method has a strong mathematical foundation and is simple to implement, achieving an accuracy of 45%. A comparison with the methods(More)
MOTIVATION A graphical representation of physicochemical and structural descriptors attributed to amino acid residues occupying the same topological position in different, structurally aligned proteins can provide a more intuitive way to associate possible functional implications to identified variations in structural characteristics. This could be achieved(More)
We propose a novel method for defining the exclusive and exhaustive table of serine proteases specificity determining interface forming residues (IFR). The IFR are obtained by " hard body docking " among 73 structurally aligned, sequence wise non redundant, serine protease structures, with 3 inhibitors: ecotine, ovomucoid third domain inhibitor and basic(More)
PDB-Metrics (http://sms.cbi.cnptia.embrapa.br/SMS/pdb_metrics/index.html) is a component of the Diamond STING suite of programs for the analysis of protein sequence, structure and function. It summarizes the characteristics of the collection of protein structure descriptions deposited in the Protein Data Bank (PDB) and provides a Web interface to search and(More)
  • 1