Empowering Chemical Structures with Biological Insights for Scalable Phenotypic Virtual Screening

ArXi:2603.15006v1 Announce Type: cross Motivation: The scalable identification of bioactive compounds is essential for contemporary drug discovery. This process faces a key trade-off: structural screening offers scalability but lacks biological context, whereas high-content phenotypic profiling provides deep biological insights but is resource-intensive. The primary challenge is to extract robust biological signals from noisy data and encode them into representations that do not require biological data at inference.