Bioinformatics services

B Cell proteome
for proteomics studies of B cell differentiation.
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PID classification
systematic classification of primary immunodeficiencies based on clinical, pathological and laboratory parameters.
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PON-All
predicts the tolerance (pathogenicity) of amino acid substitutions in multiple species.
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PON-BTK
is a method for classifying variations in the kinase domain of Bruton tyrosine kinase (BTK) related to X-linked agammaglobulinemia (XLA) to disease-causing and harmful.
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PON-Fold
is is the machine learning method for folding rate predictions for amino acid substitutions.
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PON-P2
is a machine learning-based approach to predict the pathogenicity of amino acid substitutions.
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PON-PS
is a machine learning-based approach to predict the disease severity due to amino acid substitutions.
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PON-MMR2
predicts the pathogenicity of amino acid substitutions in mismatch repair (MMR) proteins (MLH1, MSH2, MSH6 and PMS2).
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PON-mt-tRNA
is a multifactorial-probability method to predict the pathogenicity of single nucleotide substitutions in human mitochondrial tRNAs. It integrates a machine learning tool and evidence of segregation, biochemical and histochemical tests.
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PON-Diso
is a machine learning based prediction method to predict changes in disorder regions contained in a protein, caused by amino acid substitutions.
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PON-Sol2
is a two-step machine learning-based method to predict the impact of amino acid substitutions on protein solubility.
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ProTstab2
is a predictor for protein stability as indicated melting temperature (Tm).
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VariBench
is a benchmark database suite comprising variation datasets for testing and training methods for variation effect prediction.
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VariSNP
is a benchmark database suite comprising variation datasets that can be used for developing and testing the performance of variant effect prediction tools.