BioFolD -
                University of Alabama at Birmingham

Web Servers

The researchers of the Computational Molecular Biology Unit at UAB have developed several web server applications that are currently hosted by other servers at of the University of Balearic Islands (Spain) and University of Bologna (Italy). In the next months a mirror of this applications will be made available on this server. Currently you can reach these web servers using the following link.

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.
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).

Structure Comparison

SARA Method for RNA structure alignment and RNA functional assignment.


University of Alabama at Birmingham. 619 19th St. South, WP220. Birmingham (AL), 35249 (USA).
Computational Molecular Biology Unit -
   University of Alabama at Birmingham