StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides.

Briefings in Bioinformatics
Phasit CharoenkwanWatshara Shoombuatong

Abstract

The release of interleukin (IL)-6 is stimulated by antigenic peptides from pathogens as well as by immune cells for activating aggressive inflammation. IL-6 inducing peptides are derived from pathogens and can be used as diagnostic biomarkers for predicting various stages of disease severity as well as being used as IL-6 inhibitors for the suppression of aggressive multi-signaling immune responses. Thus, the accurate identification of IL-6 inducing peptides is of great importance for investigating their mechanism of action as well as for developing diagnostic and immunotherapeutic applications. This study proposes a novel stacking ensemble model (termed StackIL6) for accurately identifying IL-6 inducing peptides. More specifically, StackIL6 was constructed from twelve different feature descriptors derived from three major groups of features (composition-based features, composition-transition-distribution-based features and physicochemical properties-based features) and five popular machine learning algorithms (extremely randomized trees, logistic regression, multi-layer perceptron, support vector machine and random forest). To enhance the utility of baseline models, they were effectively and systematically integrated through a ...Continue Reading

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Apr 26, 2020·Analytical Biochemistry·Phasit CharoenkwanWatshara Shoombuatong
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Jun 20, 2020·Journal of Computer-aided Molecular Design·Phasit CharoenkwanWatshara Shoombuatong
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Nov 14, 2020·Medicinal Research Reviews·Yuan Tan, Faqin Tang

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Citations

Jul 7, 2021·Briefings in Bioinformatics·Shaherin BasithBalachandran Manavalan
Aug 6, 2021·Methods : a Companion to Methods in Enzymology·Hasan ZulfiqarYan-Wen Li
Aug 28, 2021·International Journal of Molecular Sciences·Phasit CharoenkwanWatshara Shoombuatong
Sep 18, 2021·Briefings in Bioinformatics·Shaherin BasithBalachandran Manavalan
Oct 9, 2021·Journal of Computer-aided Molecular Design·Aijaz Ahmad MalikWatshara Shoombuatong

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