Q03 : Computational Sequence-Based Prediction of Creutzfeldt-Jakob Disease with NSPDI-SNN AI Framework


Students Jordan LeBlanc
School HDSB - Abbey Park High School - Oakville
Level Intermediate 9/10 - Grade 9
Group Group 12 - Health Science IV
Abstract Prion protein misfolding causes Creutzfeldt-Jakob Disease (CJD), a fatal neurodegenerative disorder. However, experimentally testing the pathogenicity of PRNP variants is time-consuming, costly, and complex. This project uses a nonlinear synaptic pruning and dendritic integration transformer-based machine learning model (NSPDI-SNN) to predict which prion protein sequences misfold. The approach demonstrates how computational modeling can provide a fast, interpretable tool for studying disease-associated protein variants.
Awards
Group Award Prize
Hamilton Association for the Advancement of Literature Science & ArtHamilton Association da Vinci Award$ 250
International Science & Engineering Affiliated Fair AwardsSociety for In Vitro Biology Awardcertificate
Merit AwardsGold Merit Award$ 100
Grand AwardsPrimary Fluid Systems Pinnacle Best in Fair$ 1000
Grand AwardsDrs. Ranjan Sur and Monalisa Sur Award
ISEF Trip AwardsISEF Trip Award
Icor Group Ltd Innovation AwardsIcor Group Innovation Award - Second$ 100