Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs-Reference-Cited by-同舟云学术

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Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs

Published:2023-12-01 Issue: Volume:34 Page:289-298
ISSN:
Container-title:2023 IEEE International Conference on Data Mining (ICDM)
language:
Short-container-title:

Author:

Li Xiangyu¹,Ovanessians Armand²,Wang Hua¹

Affiliation:

1. Colorado School of Mines,Department of Computer Science,Golden,Colorado,USA

2. Colorado School of Mines,Department of Quantitative Biosciences and Engineering,Golden,Colorado,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10415628/10415561/10415827.pdf?arnumber=10415827

Reference38 articles.

1. Molecular Diversity and Representativity in Chemical Databases

2. Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19

3. Patterns and changes in gene expression following neo-adjuvant anti-estrogen treatment in estrogen receptor-positive breast cancer

4. Alterations of the BRAF Gene in Thyroid Tumors

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