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Systems Biology · Generative AI for Biology

Graph-to-Image Modeling of SMN2 Drug Response

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.

LeadKiana Mahtabi Nourani

ParticipantsKiana Mahtabi Nourani, Prof. Dr. Hasan Demirel, Ali Farrokhnejad, Morteza Farrokhnejad

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