Title
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations
Abstract
A key aim of post-genomic biomedical research is to systematically understand molecules and their interactions in human cells. Multiple biomolecules coordinate to sustain life activities, and interactions between various biomolecules are interconnected. However, existing studies usually only focusing on associations between two or very limited types of molecules. In this study, we propose a networ...
Year
DOI
Venue
2021
10.1109/TCBB.2020.2973091
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Keywords
DocType
Volume
Diseases,Proteins,Drugs,Molecular biophysics,Protein engineering,Systematics
Journal
18
Issue
ISSN
Citations 
6
1545-5963
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Hai-Cheng Yi113.06
Zhuhong You274855.20
Zhen-Hao Guo354.52
De-Shuang Huang45532357.50
Keith C. C. Chan5983108.02