Welcome to the PON-IDR!

Intrinsically disordered regions and proteins are common. The protein has not traditionally defined structure in these regions, instead can adopt different conformations and often interact with many partners. PON-IDR is the first dedicated predictor for amino acid tolerance/pathogenicity due to substitutions. The method is based on gradient boost decision tree (GBDT) and has a good performance in blind test analysis. The method was developed in collaboration between the groups of Prof. Mauno Vihinen in Lund University and Assoc. Prof. Yang Yang in Soochow University.

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Input formats

You can input UIDs, sequences and variations of proteins. And you can also upload relevant files.

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Data sets

1008 variants were used for training and 100 variants were used for blind test. The data sets are freely available.

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Prediction results

Result are displayed on the Results page. You can also provide your email, then the results are by email.

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