A Multi-Omics and Network Biology Case Study of CLIC1 Using AI Generated Prompts

Abstract

Artificial intelligence–assisted prompting is accelerating target discovery by integrating multi-omics and network data. Using Swalife PromptStudio, we identify CLIC1, a redox-regulated chloride channel and metamorphic protein linking cytoskeletal, redox, and metabolic modules. Multi-omics analyses show its consistent overexpression in cancers and neuroinflammatory diseases, correlating with poor prognosis. GWAS and ClinVar highlight CLIC1 as a modifier of immune traits and cancer susceptibility, while somatic amplifications confirm its oncogenic role. Network analysis positions it as a high-centrality hub overlapping with cancer hallmarks. Its benign germline pathogenicity profile suggests low toxicity risk, supporting therapeutic targeting. These findings validate prompt-driven approaches for assembling actionable insights and establish CLIC1 as a promising, polypharmacological target across disease contexts.