prPred‐DRLF: Plant R protein predictor using deep representation learning features-Reference-Cited by-同舟云学术

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prPred‐DRLF: Plant R protein predictor using deep representation learning features

Published:2021-10-14 Issue:1-2 Volume:22 Page:2100161
ISSN:1615-9853
Container-title:PROTEOMICS
language:en
Short-container-title:Proteomics

Author:

Wang Yansu¹²^ORCID,Xu Lei¹,Zou Quan²³^ORCID,Lin Chen⁴^ORCID

Affiliation:

1. School of Electronic and Communication Engineering Shenzhen Polytechnic Shenzhen China

2. Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu China

3. Yangtze Delta Region Institute (Quzhou) University of Electronic Science and Technology of China Quzhou Zhejiang China

4. School of Informatics Xiamen University Xiamen China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pmic.202100161

Reference43 articles.

1. Pattern Recognition Receptors: From the Cell Surface to Intracellular Dynamics

2. Resistance proteins: molecular switches of plant defence

3. Role of NBS-LRR Proteins in Plant Defense

4. NLR-parser: rapid annotation of plant NLR complements

5. RGAugury: A pipeline for genome‐wide prediction of resistance gene analogs (RGAs) in plants;Li P.;BMC Genomics (Electronic Resource),2016

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