A Hybrid Model for Predicting Pattern Recognition Receptors Using Evolutionary Information

A Hybrid Model for Predicting Pattern Recognition Receptors Using Evolutionary Information

This study describes a method developed for predicting pattern recognition receptors (PRRs), which are an integral part of the immune system. The models developed here were trained and evaluated on the largest possible non-redundant PRRs, obtained from PRRDB 2.0, and non-pattern recognition receptor...

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Bibliographic Details
Main Authors: Dilraj Kaur, Chakit Arora, Gajendra P. S. Raghava
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Immunology
Subjects:
pattern recognition receptors
prediction
innate immunity
machine learning
BLAST
toll-like receptors
Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2020.00071/full

Internet

https://www.frontiersin.org/article/10.3389/fimmu.2020.00071/full

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