Choose compounds with focused cellular RBP engagement

RBP-SP™ supports compound prioritization by quantifying cellular target engagement of RNA-binding proteins across the endogenous RBPome. Rather than ranking compounds against a small, pre-nominated set of RBPs, this approach evaluates how engagement is distributed across RNA–protein interaction networks in living cells. These data provide an early, engagement-based basis for prioritizing compounds with focused cellular selectivity before liabilities are embedded into a series.

Selectivity profiling is performed directly in intact cells, capturing compound-induced changes in endogenous RNA–protein interactions across hundreds of RBPs. By resolving engagement at the interaction level, RBP-SP™ enables direct comparison of compounds across chemotypes based on the breadth, magnitude, and distribution of their cellular RBP engagement. Pre-defined selectivity metrics summarize engagement dispersion across the RBPome, enabling quantitative ranking by cellular selectivity rather than qualitative pattern inspection.

Studies are designed for parallel evaluation of multiple compounds under matched conditions. Experimental design, cell models, normalization strategies, and selectivity scoring frameworks are specified in advance to ensure reproducible ranking across runs.

Rank Compounds by Cellular RBP Selectivity (RBP-SP™)

Cellular RBP selectivity profiling enables compound and series prioritization based on RBPome-scale cellular target engagement, rather than potency or activity against a limited target set. By ranking compounds according to the focus and distribution of their RNA–protein interaction engagement in cells, RBP-SP™ supports early advancement decisions guided by selectivity and off-target risk.

RBPome-scale selectivity ranking is delivered through the RBP Selectivity Profiling (RBP-SP™) service.

RBP Selectivity Profiling (RBP-SP™)

Broad, unbiased selectivity profiling across the RBPome

Mass-spectrometry–based measurement of cellular target engagement and off-target interactions across RNA-binding proteins in cells. Resolves mechanism-relevant engagement patterns and identifies early selectivity liabilities to inform progression decisions.