Computational design of new proteases

Description

Efficient recombinant protein purification is pivotal in biological research, predominantly relying on affinity tags. However, complete removal of C-terminal tags is problematic since most endoproteases cut towards the C-terminal end of their recognition sequence. Nonetheless, the additional residues on the recombinant protein from the protease recognition sequence after protein tag removal can be adverse to the proper folding or crystallization of the target protein. Here, we harness the power of de novo computational design to develop sequence-specific proteases tailored for C-terminal tag removal without leaving any residues from the recognition sequence, a challenge unmet by currently used proteases. A FACS-based screening method will be used to select highly efficient de novo proteases. Our preliminary computational results show a gradual improvement of the designed models, which signifies the efficiency of our pipeline. Computational enzyme design is advantageous over conventional directed evolution techniques in developing proteases with customized applications, and our approach will open a new scope for developing proteases for a wide range of applications.

Period	18 Sept 2024
Event title	16th ÖGMBT Annual Meeting 2024: Life Sciences - Tackling the Challenges of the 21st century
Event type	Conference
Location	Graz, AustriaShow on map
Degree of Recognition	National