AutoTarget: Disease-Associated druggable target identification via node representation learning in PPI networks

Drug target discovery, a pivotal early stage in drug development, is resource-intensive and crucial for ensuring drug efficacy. This study presents AutoTarget, a novel computational pipeline designed to identify disease-associated druggable targets by applying node representation learning to protein...

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Bibliographic Details
Main Authors: Hyunseung Kong, Inyoung Kim, Byoung-Tak Zhang
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Current Research in Biotechnology
Online Access:http://www.sciencedirect.com/science/article/pii/S2590262824000868
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