Predicting human–pathogen protein–protein interactions using Natural Language Processing methods

Predicting human–pathogen protein–protein interactions using Natural Language Processing methods

In this paper, we predict the interaction of proteins between Humans and Yersinia pestis via amino acid sequences. We utilize multiple Natural Language Processing (NLP) methods available in deep learning in a unique format and produce promising results. Our developed model gives a cross-validation A...

Full description

Bibliographic Details
Main Authors: Nikhil Mathews, Tuan Tran, Banafsheh Rekabdar, Chinwe Ekenna
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Natural Language Processing
protein–protein interactions
Deep learning
Neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S235291482100215X

Internet

http://www.sciencedirect.com/science/article/pii/S235291482100215X

Similar Items