Identify mechanistic RNA-binding protein drivers

Target identification and deconvolution aim to determine which molecular interactions are responsible for an observed cellular phenotype and whether they represent viable points for further investment. In RNA-centric and phenotypic programs, initial hypotheses are often informed by genetics, transcriptomic changes, pathway annotations, or prior literature, but the causal RNA-binding proteins and interaction networks remain uncertain.

RBP-SP™ is applied when phenotypic responses implicate post-transcriptional regulation, RNA metabolism, or translational control, but the specific RBPs driving the effect are unclear. Studies are designed to test whether compound-induced changes in RNA–protein interactions align with the observed phenotype, using disease-relevant cellular systems and physiologically expressed RBPs. The emphasis is on resolving causal interaction changes rather than downstream consequences.

In discovery programs where the mechanism is unknown, RBP-SP™ supports deconvolution by distinguishing direct perturbations of RNA–RBP interactions from secondary network responses. By measuring engagement across endogenous RNA–protein complexes, the approach enables separation of primary interaction effects from indirect transcriptional or signaling-driven changes, providing a clearer basis for target prioritization.