Adrian Weich

Network-based analysis reveals microRNA regulation of oncogenic pathways in SOX10-depleted uveal melanoma

The paper identifies miRNAs regulated by SOX10 depletion in uveal melanoma and shows their role in tumor-suppressive pathways.

A computational SOX10 network-based selection strategy to identify new drug targets in uveal melanoma

The paper identifies E2F transcription factors as potential druggable targets in uveal melanoma by analyzing SOX10's role and its downstream effects.

The integration of network biology and pharmacophore modeling suggests repurposing Clindamycin as an inhibitor of pyroptosis via Caspase-1 blockage in tumor-associated macrophages

The paper identifies Clindamycin as a potential inhibitor of pyroptosis in tumor-associated macrophages by integrating network biology and pharmacophore modeling.

An algorithm that combines machine learning ensemble modeling and network analysis to predict self-tolerant tumor-associated antigens for anti-cancer immunotherapy

The paper presents a computational pipeline that combines machine learning and network analysis to predict self-tolerant tumor-associated antigens for immunotherapy in uveal melanoma.