PRR-HyPred: A two-layer hybrid framework to predict pattern recognition receptors and their families by employing sequence encoded optimal features-Reference-Cited by-同舟云学术

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PRR-HyPred: A two-layer hybrid framework to predict pattern recognition receptors and their families by employing sequence encoded optimal features

Published:2023-04 Issue: Volume:234 Page:123622
ISSN:0141-8130
Container-title:International Journal of Biological Macromolecules
language:en
Short-container-title:International Journal of Biological Macromolecules

Author:

Firoz Ahmad,Malik Adeel,Ali Hani Mohammed,Akhter Yusuf,Manavalan Balachandran,Kim Chang-Bae

Funder

King Abdulaziz University

Deanship of Scientific Research, King Saud University

Department of Sport and Recreation, Government of Western Australia

Publisher

Elsevier BV

Subject

Molecular Biology,General Medicine,Biochemistry,Structural Biology

Reference64 articles.

1. Pattern recognition receptors in health and diseases;Li;Signal. Transduct. Target. Ther.,2021

2. A hybrid model for predicting pattern recognition receptors using evolutionary information;Kaur;Front. Immunol.,2020

3. Pattern recognition receptors in innate immunity, host defense, and immunopathology;Suresh;Adv. Physiol. Educ.,2013

4. Research advancement of innate immunity and pattern recognition receptors;He;Chin. J. Anim. Nutr.,2017

5. Pattern recognitions receptors in immunodeficiency disorders;Mortaz;Eur. J. Pharmacol.,2017

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