Guillem Jorba

The paper introduces PocketVec, a method to generate binding site descriptors for proteins, identifies over 32,000 druggable pockets in the human proteome, and shows its utility in discovering similar pockets not detected by traditional methods.

This paper constructs a patient repository by integrating transcriptomics datasets to generate real-world data for clinical trialling, improving downstream biological conclusions by 45%.

The paper uses TPMS to model drug mechanisms and identify biomarkers linked to macular degeneration as an adverse effect of heart failure treatment with sacubitril/valsartan.