PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions

• Published in: Frontiers in immunology Vol. 9; p. 1783
• Main Authors: Manavalan, Balachandran, Shin, Tae Hwan, Kim, Myeong Ok, Lee, Gwang
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 31.07.2018
• Subjects: Algorithms; Amino Acid Sequence; Animals; Computational Biology - methods; ensemble learning; Humans; Immunology; immunotherapy; Immunotherapy - methods; Inflammation Mediators - immunology; Inflammation Mediators - metabolism; Inflammation Mediators - therapeutic use; Machine Learning; Peptides - immunology; Peptides - metabolism; Peptides - therapeutic use; proinflammatory peptide; random forest; Reproducibility of Results; ensemble learning; random forest; machine learning; proinflammatory peptide; immunotherapy

Proinflammatory cytokines have the capacity to increase inflammatory reaction and play a central role in first line of defence against invading pathogens. Proinflammatory inducing peptides (PIPs) have been used as an antineoplastic agent, an antibacterial agent and a vaccine in immunization therapie...