Inferring Potential Drug-Target Interactions using Multiple Similarities and Network Consistency Projection-Reference-Cited by-同舟云学术

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Inferring Potential Drug-Target Interactions using Multiple Similarities and Network Consistency Projection

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition
language:
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Author:

Li Jianhua¹^ORCID,Ren Haoran¹^ORCID,Xiao Dayu¹^ORCID,Deng Botao¹^ORCID

Affiliation:

1. College of Medicine and Biological Information Engineering, Northeastern University, China

Funder

Northeastern University Student Innovation Training Program

the Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581807.3581860

Reference19 articles.

1. Chong C. , Sullivan D. ( 2007 ). “ New uses for old drugs”. Nature, 448:645-646 . Chong C., Sullivan D. (2007). “New uses for old drugs”. Nature, 448:645-646.

2. Encouraging new uses for old drugs;Sachs R.;. The Journal of American Medical Association,2017

3. Network medicine framework for identifying drug-repurposing opportunities for COVID-19;Morselli D.;Proceedings of the National Academy of Sciences, USA,2021

4. Deep learning identifies synergistic drug combinations for treating COVID-19;Jin W.;Proceedings of the National Academy of Sciences, USA,2021

5. Effect of early treatment with fluvoxamine on risk of emergency care and hospitalisation among patients with COVID-19: the TOGETHER randomised, platform clinical trial;Reis G.;Lancet Global Health,2022

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