Arora P, Periwal N, Goyal Y, Sood V, Kaur B. iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers. BMC Bioinformatics. 2023 Apr 11;24(1):141. doi: 10.1186/s12859-023-05248-6. PMID: 37041520; PMCID: PMC10088697.
Welcome to iIL13Pred
Interleukin (IL)-13 is a pleiotropic cytokine that is secreted by
T-Helper 2 cells, basophils, mast cells, eosinophils, and natural killer
cells. IL-13 is known to be associated with a number of infectious and
non-infectious diseases. Interestingly, the recent association of IL-13
with COVID-19 severity has sparked interest in this cytokine. Therefore
prediction and characterization of new molecules/peptides which can
regulate IL-13 induction might lead to novel therapeutics.
Major features of iIL13Pred are as follows:
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Predict : The user can use this module to predict whether the given peptide sequence can induce IL-13 or not.
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Design : This module allows the user to generate all the
possible single mutants of a given peptide and then predict whether
the mutants have IL-13 induction activity or not. This module generates
all the mutants of a given peptide sequence. Then IL-13 induction ability of
these peptides is predicted.
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Protein Scan : This module generates all the possible
overlapping peptides of a given protein sequence. These peptide
sequences are then predicted to induce IL-13.