IIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers.

ABSTRACT:

Background

Inflammatory mediators play havoc in several diseases including the novel Coronavirus disease 2019 (COVID-19) and generally correlate with the severity of the disease. Interleukin-13 (IL-13), is a pleiotropic cytokine that is known to be associated with airway inflammation in asthma and reactive airway diseases, in neoplastic and autoimmune diseases. Interestingly, the recent association of IL-13 with COVID-19 severity has sparked interest in this cytokine. Therefore characterization of new molecules which can regulate IL-13 induction might lead to novel therapeutics.

Results

Here, we present an improved prediction of IL-13-inducing peptides. The positive and negative datasets were obtained from a recent study (IL13Pred) and the Pfeature algorithm was used to comp

SUBMITTER: Arora P 

PROVIDER: S-EPMC10088697 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature