RLPredictiOme, a Machine Learning-Derived Method for High-Throughput Prediction of Plant Receptor-like Proteins, Reveals Novel Classes of Transmembrane Receptors

RLPredictiOme, a Machine Learning-Derived Method for High-Throughput Prediction of Plant Receptor-like Proteins, Reveals Novel Classes of Transmembrane Receptors

Cell surface receptors play essential roles in perceiving and processing external and internal signals at the cell surface of plants and animals. The receptor-like protein kinases (RLK) and receptor-like proteins (RLPs), two major classes of proteins with membrane receptor configuration, play a cruc...

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Bibliographic Details
Main Authors: Jose Cleydson F. Silva, Marco Aurélio Ferreira, Thales F. M. Carvalho, Fabyano F. Silva, Sabrina de A. Silveira, Sergio H. Brommonschenkel, Elizabeth P. B. Fontes
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:International Journal of Molecular Sciences
Subjects:
RLPredictiOme
probable lipid transfer (PLT)-RLP
plastocyanin-like-RLP
ring finger-RLP
glycosyl-hydrolase-RLP
glycerophosphoryldiester phosphodiesterase (GDPD GDPDL)-RLP
Online Access:https://www.mdpi.com/1422-0067/23/20/12176

Internet

https://www.mdpi.com/1422-0067/23/20/12176

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