المشروع الصيفي
تخصص المعلوماتية الحيوية · دفعة 2025
AI-Optimized Enzyme Design for Biomass Breakdown
Algae and aquatic plants are promising biofuel sources because they don’t need farmland or freshwater and contain both sugars and oils. Unlike food crops, they avoid the food-vs-fuel conflict. But their biomass is hard to break down due to tough cell walls made of cellulose, lignin, and complex polysaccharides. Current enzymatic methods are slow and expensive — enzymes like cellulases struggle with the diverse and resistant structures in these organisms. This inefficiency adds around $0.50 per gallon of ethanol, making biofuels less competitive with fossil fuels. We are building an AI pipeline that generates novel enzyme sequences that can make the plant breakdown more efficient. We will generate and evaluate those sequences using y-lab tools.
المشرف: Fares Fourati
مع أكاديمية كاوست
- دفعة 2025
جامعة الملك خالد · المدرسة الصيفية للذكاء الاصطناعي
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