Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method

Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method

The identification of human-virus protein-protein interactions (PPIs) is an essential and challenging research topic, potentially providing a mechanistic understanding of viral infection. Given that the experimental determination of human-virus PPIs is time-consuming and labor-intensive, computation...

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Bibliographic Details
Main Authors: Xiaodi Yang, Shiping Yang, Qinmengge Li, Stefan Wuchty, Ziding Zhang
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Human-virus interaction
Protein-protein interaction
Prediction
Embedding
Doc2vec
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037019304295

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http://www.sciencedirect.com/science/article/pii/S2001037019304295

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