Synthesize heterogeneous biological knowledge via representation learning for Alzheimer’s disease drug repurposing-Reference-Cited by-同舟云学术

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Synthesize heterogeneous biological knowledge via representation learning for Alzheimer’s disease drug repurposing

Published:2023-01 Issue:1 Volume:26 Page:105678
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Hsieh Kang-Lin,Plascencia-Villa German,Lin Ko-Hong,Perry George,Jiang Xiaoqian,Kim Yejin^ORCID

Funder

NIH

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference76 articles.

1. The price of progress: funding and financing Alzheimer’s disease drug development;Cummings;Alzheimers Dement.,2018

2. Costly new alzheimer disease medications on the horizon—financing alternatives for medicare;Fleming;JAMA Health Forum,2020

3. Anticancer drug synergy prediction in understudied tissues using transfer learning;Kim;J. Am. Med. Inform. Assoc.,2021

4. Clinical considerations for use of initial combination therapy in type 2 diabetes;Cahn;Diabetes Care,2016

5. Differences in glucose tolerance between fixed-dose antihypertensive drug combinations in people with metabolic syndrome;Bakris;Diabetes Care,2006

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Screening Targets and Therapeutic Drugs for Alzheimer’s Disease Based on Deep Learning Model and Molecular Docking;Journal of Alzheimer's Disease;2024-07-30

2. DeepDrug: An Expert-led Domain-specific AI-Driven Drug-Repurposing Mechanism for Selecting the Lead Combination of Drugs for Alzheimer’s Disease;2024-07-07

3. Alzheimer’s Disease Knowledge Graph Based on Ontology and Neo4j Graph Database;Lecture Notes in Networks and Systems;2024

4. The Alzheimer’s Knowledge Base – A knowledge graph for therapeutic discovery in Alzheimer’s Disease research (Preprint);Journal of Medical Internet Research;2023-02-24

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