PON-Diso

PON-Diso is a machine learning based prediction method, which is developed using Random Forest classifier on AAIndex features and Evolutionary features. PON-Diso is a method to predict changes in disorder regions contained in protein caused by amino acid substitutions.

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PON-Diso Prediction

Identifier submission Sequence submission

Fasta format amino-acid sequence(s)
Example:
>ADA_HUMAN
MAQTPAFDKPKVELHVHLDGSIKPETILYYGRRRGIALPANTAEGLLNVIGMDKPLTLPD
FLAKFDYYMPAIAGCREAIKRIAYEFVEMKAKEGVVYVEVRYSPHLLANSKVEPIPWNQA
EGDLTPDEVVALVGQGLQEGERDFGVKARSILCCMRHQPNWSPKVVELCKKYQQQTVVAI
DLAGDETIPGSSLLPGHVQAYQEAVKSGIHRTVHAGEVGSAEVVKEAVDILKTERLGHGY
HTLEDQALYNRLRQENMHFEICPWSSYLTGAWKPDTEHAVIRLKNDQANYSLNTDDPLIF
KSTLDTDYQMTKRDMGFTEEEFKRLNINAAKSSFLPEDEKRELLDLLYKAYGMPPSASAG
QNL

Variation(s)
Example:
>ADA_HUMAN
R101H
R101L
S291L





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Last updated: 2014-03-06 © Protein Structure and Bioinformatics Group, Lund University 2014