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Artificial intelligence (AI)-Driven Protein Design for Therapeutic Applications

Description 
Therapeutic proteins such as insulin (a hormone for diabetes), erythropoietin (a growth factor for anemia), interferons (cytokines for immune modulation), and monoclonal antibodies like rituximab (used in cancer therapy) have profoundly advanced modern medicine. These biologics have delivered effective treatments across a broad spectrum of conditions, including autoimmune and inflammatory disorders, cancer, and cardiovascular diseases. The rapid emergence of artificial intelligence (AI) in protein design now presents unprecedented opportunities to accelerate the discovery and optimisation of next-generation protein therapeutics. This project will harness AI-driven protein design and engineering in combination with protein biochemistry, biophysical chemistry, structural biology, and cell signalling approaches to identify and develop novel protein scaffolds. The focus will be on generating candidates with therapeutic potential for the treatment of inflammatory and autoimmune diseases, as well as cancer.
Essential criteria: 
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords 
Protein design, protein engineering, protein biochemistry, biophysical chemistry, structural biology and cell signalling
School 
Biomedicine Discovery Institute (School of Biomedical Sciences)
Available options 
PhD/Doctorate
Masters by research
Honours
BMedSc(Hons)
Short projects
Joint PhD/Exchange Program
Time commitment 
Full-time
Part-time
Top-up scholarship funding available 
No
Physical location 
Biomedicine Discovery Institute

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