Utilising multi-modal data-driven network analysis to identify monotherapy and combinational therapy targets in SOX2-dependent squamous cell lung cancer

Abstract excerpt

Drug discovery requires a deep understanding of disease mechanisms, making the integration and analysis of diverse, multi-modal data types essential. These data types, spanning omics types, disease- associated, and biological pathway information, often originate from disparate sources and must be combined to uncover critical insights. We have developed iPANDDA ( in-silico Pipeline for Agnostic Network-based Drug...

Topics

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• Acetylation
• Cyclin-Dependent Kinase 4
• Cyclin-Dependent Kinase 6
• Epithelial-Mesenchymal Transition
• Proteogenomics
• Receptor Tyrosine Kinase-like Orphan Receptors
• Receptors, Platelet-Derived Growth Factor
• Ubiquitination

Identifiers and source

Literature Corpus work

05db1f47-88fe-5d62-9c32-e57e16988ede

DOI

10.1101/2025.01.30.635634