Cargando…
Emvirus: An embedding-based neural framework for human-virus protein-protein interactions prediction
Human-virus protein-protein interactions (PPIs) play critical roles in viral infection. For example, the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds primarily to human angiotensin-converting enzyme 2 (ACE2) protein to infect human cells. Thus, identifying and...
Autores principales: | Xie, Pengfei, Zhuang, Jujuan, Tian, Geng, Yang, Jialiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chinese Medical Association Publishing House. Published by Elsevier BV.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166638/ https://www.ncbi.nlm.nih.gov/pubmed/37362223 http://dx.doi.org/10.1016/j.bsheal.2023.04.003 |
Ejemplares similares
-
Deep Neural Network Framework Based on Word Embedding for Protein Glutarylation Sites Prediction
por: Liu, Chuan-Ming, et al.
Publicado: (2022) -
Accurate prediction of virus-host protein-protein interactions via a Siamese neural network using deep protein sequence embeddings
por: Madan, Sumit, et al.
Publicado: (2022) -
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction
por: Kim, QHwan, et al.
Publicado: (2021) -
Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method
por: Yang, Xiaodi, et al.
Publicado: (2019) -
A multitask transfer learning framework for the prediction of virus-human protein–protein interactions
por: Dong, Thi Ngan, et al.
Publicado: (2021)