Resources
The researchers of the BioFolD Unit have developed
several web server applications that are currently hosted by other
servers at
of the
University of Alabama at Birmingham (USA), University of Bologna
(Italy) and web pages manatined by other collaborators. In the next
months a mirror of these applications will be made available on this server.
Currently you can reach these web servers using the following links.
Folding and Stability
| 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.
|
Mutation and Disease
| PhD-SNP | Support Vector Machine based method to discriminate between neutral
or disease-related single point protein mutations.
|
| PhD-SNPg | Machine learning method for predicting pathogenic variants in
coding and non-coding regions.
|
| Meta-SNP | Meta-predictor of disease causing varints that uses the output of
PANTHER, PhD-SNP, SIFT and SNAP
|
| WS-SNPs&GO | Support Vector Machine method for the detection of disease-related
SNPs based on functional information
|
| DrCancer | Support Vector Machine based method to predict cancer-causing
mutations (Beta version).
|
| ContrastRank |
Statistical method for the classification of cancer samples using exome sequencing data.
|
Macromolecular Structure
| SARA | Method for RNA structure alignment and RNA functional assignment. |
| SARA-Coffee | Method for RNA multiple structure alignment |
| WebRASP | Method for the assessment RNA 3D structures |
