Biomolecules Folding and Disease |
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The researchers of the BioFolD Unit have developed
several web server applications that are currently hosted
on servers of the University of Bologna
(Italy) and maintained by other collaborators. In the future
a mirror of these applications will be made available on this server.
Currently you can reach these web servers using the following links.
I-Mutant1.0 |
Neural Network based method to predict the sign of free energy change
of proteins upon single point mutation.
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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.
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K-Fold |
Support Vector Machine based method to predict the mechanism and
rate of protein folding kinetic.
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K-Pro |
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ThermoScan | A semi-automatic method for retrieving protein thermodynamic data from literature.
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DDGun |
Untrained method for predicting the variation of free energy change of protein mutants.
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ContrastRank |
Statistical method for the classification of cancer samples using exome sequencing data.
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DrCancer |
Support Vector Machine based method to predict cancer-causing
mutations (Beta version).
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Fido-SNP | Machine learning method for predicting the impact of SNVs in the dog genome.
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Meta-SNP |
Meta-predictor of disease causing varints that uses the output of
PANTHER, PhD-SNP, SIFT and SNAP |
PhD-SNP |
Support Vector Machine based method to discriminate between neutral
or disease-related single point protein mutations.
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PhD-SNPg |
Machine learning method for predicting pathogenic variants in
coding and non-coding regions.
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WS-SNPs&GO |
Support Vector Machine method for the detection of disease-related
SNPs based on functional information
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SARA |
Method for RNA structure alignment and RNA functional assignment. |
SARA-Coffee |
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WebRASP |