Cargando…
DWPPI: A Deep Learning Approach for Predicting Protein–Protein Interactions in Plants Based on Multi-Source Information With a Large-Scale Biological Network
The prediction of protein–protein interactions (PPIs) in plants is vital for probing the cell function. Although multiple high-throughput approaches in the biological domain have been developed to identify PPIs, with the increasing complexity of PPI network, these methods fall into laborious and tim...
Autores principales: | Pan, Jie, You, Zhu-Hong, Li, Li-Ping, Huang, Wen-Zhun, Guo, Jian-Xin, Yu, Chang-Qing, Wang, Li-Ping, Zhao, Zheng-Yang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978800/ https://www.ncbi.nlm.nih.gov/pubmed/35387292 http://dx.doi.org/10.3389/fbioe.2022.807522 |
Ejemplares similares
-
Discovery of Protein–lncRNA Interactions by Integrating Large-Scale CLIP-Seq and RNA-Seq Datasets
por: Li, Jun-Hao, et al.
Publicado: (2015) -
Prediction of lncRNA–Protein Interactions via the Multiple Information Integration
por: Chen, Yifan, et al.
Publicado: (2021) -
Large Nanodiscs: A Potential Game Changer in Structural Biology of Membrane Protein Complexes and Virus Entry
por: Padmanabha Das, Krishna M., et al.
Publicado: (2020) -
High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440
por: Gao, Yuqian, et al.
Publicado: (2020) -
Protein Interaction Network Reconstruction Through Ensemble Deep Learning With Attention Mechanism
por: Li, Feifei, et al.
Publicado: (2020)