Biomolecules Folding and Disease



Folding - BioFolD

In this page are reported information about the projects related to the study of the protein folding. Currently we have two web tools located in our server and one located in a server of the University of Bologna.

I-Mutant1.0 Neural Network based method to predict the sign of free energy change of proteins upon single point mutation.
I-Mutant2.0 Support Vector Machine based method to predict the sign and the value of free energy change of proteins upon single point mutation.
K-Fold Support Vector Machine based method to predict the mechanism and rate of protein folding kinetic.

K-Pro

Database of kinetics data on proteins and mutants.

ThermoScan A semi-automatic method for retrieving protein thermodynamic data from literature.

DDGun

Untrained method for predicting the variation of free energy change of protein mutants.


The implementation of these web servers has been made partially supported by funds from the BioSapiens Network of Excellence (LSHG-CT-2003-503265) delivered to Rita Casadio.
Since September 2011, the log file of this server is monitored periodically and the tools' usage is mapped below. Better statistics about the usage of these resources are available on this web page.