Current status and future perspectives of computational studies on human-virus protein-protein interactions.
Brief Bioinform
; 22(5)2021 09 02.
Article
in English
| MEDLINE | ID: covidwho-1122600
ABSTRACT
The protein-protein interactions (PPIs) between human and viruses mediate viral infection and host immunity processes. Therefore, the study of human-virus PPIs can help us understand the principles of human-virus relationships and can thus guide the development of highly effective drugs to break the transmission of viral infectious diseases. Recent years have witnessed the rapid accumulation of experimentally identified human-virus PPI data, which provides an unprecedented opportunity for bioinformatics studies revolving around human-virus PPIs. In this article, we provide a comprehensive overview of computational studies on human-virus PPIs, especially focusing on the method development for human-virus PPI predictions. We briefly introduce the experimental detection methods and existing database resources of human-virus PPIs, and then discuss the research progress in the development of computational prediction methods. In particular, we elaborate the machine learning-based prediction methods and highlight the need to embrace state-of-the-art deep-learning algorithms and new feature engineering techniques (e.g. the protein embedding technique derived from natural language processing). To further advance the understanding in this research topic, we also outline the practical applications of the human-virus interactome in fundamental biological discovery and new antiviral therapy development.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Receptors, Virus
/
Viral Proteins
/
Viruses
/
Protein Interaction Mapping
/
Host-Pathogen Interactions
/
Machine Learning
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Journal subject:
Biology
/
Medical Informatics
Year:
2021
Document Type:
Article
Affiliation country:
Bib
Similar
MEDLINE
...
LILACS
LIS