Prediction of novel mouse TLR9 agonists using a random forest approach

Prediction of novel mouse TLR9 agonists using a random forest approach

Abstract Background Toll-like receptor 9 is a key innate immune receptor involved in detecting infectious diseases and cancer. TLR9 activates the innate immune system following the recognition of single-stranded DNA oligonucleotides (ODN) containing unmethylated cytosine-guanine (CpG) motifs. Due to...

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Bibliographic Details
Main Authors: Varun Khanna, Lei Li, Johnson Fung, Shoba Ranganathan, Nikolai Petrovsky
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Molecular and Cell Biology
Subjects:
Toll-like receptor 9
CpG
Machine learning
Random Forest
Oligonucleotides
Online Access:https://doi.org/10.1186/s12860-019-0241-0

Internet

https://doi.org/10.1186/s12860-019-0241-0

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