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A Machine-Guided Approach to Bacteriophage Surface Protein Engineering

Description: Immunogenicity is one of key aspects limiting the efficacy of phage therapy. A solution would be to implement a machine guided means of ingineering phage surface proteins that are not part of a host's immunological memory so that they can form stable phage particles for use in phage therapy.

One of the main issues that limit the efficacy of phage therapy to treat bacterial diseases is immunogenicity: bacteriophages used for treatment are eliminated by the host immune system because the surface proteins of bacteriophages act as antigens for the immune system to detect and eliminate the said bacteriophages. A solution would be to implement a machine guided means of engineering stable bacteriophage particles with a set of mutagenic surface proteins that are not stored as immunological memory. A set of surface proteins would be determined if the form a stable viral structure by a machine learning model. Then, the new bacteriophages will be used to replace immunogenic bacteriophages.

Organisation: SREENIDHI-HUB, SREENIDHI INSTITUTE OF SCIENCE AND TECHNOLOGY

Innovator(s): ROSHAN V KONDAPALLI, BRAHMANDAM N S A L GAYATRI

Category: Nanotechnology

Country: India

Silver Award