Synthetic novel proteins (not found in nature) that are designed to fulfill a predetermined biological function can be used as molecular markers, inhibitory agents, or drugs. For example, a synthetic protein could bind to a critical protein of a pathogen, thereby inhibiting the function of the target protein and potentially reducing the impact of the pathogen. During our recent SOSCIP project, we have built the In-Silico Protein Synthesizer (InSiPS), a massively parallel computational tool for the IBM Blue Gene/Q that is aimed at designing synthetic inhibitory proteins. More precisely, InSiPS designs proteins that are predicted to interact with a given target protein (and may inhibit the target’s cellular functions) while leaving non-target proteins unaffected (to minimize side-effects). The main goal of our proposed new SOSCIP project is to build a new InSiPS version, InSiPS-H, capable of designing synthetic proteins for human protein targets and to use InSiPS-H in collaborative research with medical researchers to facilitate the design of novel therapeutic treatments. Building InSiPS-H is a challenging task. The human proteome has approx 20,000 proteins (yeast has approx. 6,000 proteins) and many human proteins are much longer than yeast proteins.

Industry Partner(s):IBM Canada Ltd., Designed Biologics

Academic Institution:Carleton University

Academic Researcher: Frank Dehne

Co-PI Name: Ashkan Golshani

Focus Areas: Advanced Manufacturing, Health

Platforms: Cloud, Parallel CPU