
Cellular compartments selectively concentrate proteins and small-molecules to conduct shared functions. We perform experiments and construct machine learning models to learn the patterns dictating selectivity and apply these models to study disease mechanisms and probe therapeutic hypotheses.
Cellular processes are concentrated in phase separated bodies called biomolecular and molecules possess solvating features that promote their incorporation.
Life processes are orchestrated within biomolecular condensates. The chemical information encoded in the sequences and structures of molecules governs their selective incorporation into these compartments. Building upon the seminal discoveries of the past decade in condensate biology, our work advances the understanding of cellular compartmentalization in normal and disease biology and seeks to uncover principles promoting the development of agents with optimal therapeutic benefit.