Project
UNIBO
| Methods | Applications |
| Machine learning: - Neural Networks - Hidden Markov Models - Support Vector Machine Decision trees Statistical Methods |
Structural and functional
proteins annotation Surface patch database Model database |
UNIBO RECENT DEVELOPMENTS TOOLS
UNIROMA2
| Methods | Applications |
| Analysis of protein structure Prediction of protein interaction specificity Protein evolution Functional annotation |
Database of surface patches Database of Eukaryotic Linear Motifs Database of Sequence-Structure links Server for prediction of interaction specificity Server for local structure comparison |
UNIROMA1
| Methods | Applications |
| Evaluation of multiple sequence
alignment quality Assessment of structural models of proteins Validation of structural models Methods for protein structure prediction Molecular replacement in x-ray crystallography tRNA structural analysis Protein model database |
Adhesion molecules Antibodies Lipases tRNA mutants Human genome annotation Hepatitis C virus proteins Chromosome 21 detailed sequence analysis predictions |