Generative AI & Multimodal Biomedical Engineering

Originating from Kiana Mahtabi Nourani’s EENG538 project, this work studies how the sequence space of 285 engineered SMN2 exon-7 5′ splice-site variants can be represented computationally while keeping drug-response information out of the representation itself. The current study uses a response-independent sequence graph and two-dimensional compression to test which sequence and published-motif structure survives spatialization, while explicitly evaluating the stability and limitations of the representation.