DIM-Pred server is a SVM-based machine learning method to predict the protein missense mutations that cause
    order → disorder transition of the mutated position. Our method achieved a classification accuracy of 90% with
    sensitivity and specificity of 94.9% and 80.6%, respectively.





  Protein sequence in fasta format:  (Example)   Aminoacid missense mutations:  (Example)