The library is screened in vitro to identify functionally active Pept-ins™, which are then characterized, optimized and further screened in vivo

A library of Pept-ins™ is generated exploring the selected APRs.

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.

Based on physiological insights in the biology of the disease, the Pept-in^™ protein target(s) is selected and its protein sequence identified.