In vitro screening of the library enables identification of functionally active Pept-ins, which we subsequently characterize, optimize and test in vivo
From the chosen APRs, we generate a library of Pept-ins
Our algorithm determines the most promising APR sequences are chosen for Pept-in design
We identify and analyze the APR sequences of the target protein
Physiological insights of the disease indication inform selection of the target
Based on physiological insights in the biology of the disease, the Pept-in™ protein target(s) is selected and its protein sequence identified.
Based on this sequence, the ‘TANGO’ algorithm identifies all APRs within the target protein and assigns a score. Subsequently the most promising APR sequences are selected for Pept-in™ design.
A library of Pept-ins™ is generated exploring the selected APRs.
The library is screened in vitro to identify functionally active Pept-ins™, which are then characterized, optimized and further screened in vivo
