Persistent sheaf Laplacian analysis of protein stability and solubility changes upon mutation.

Abstract excerpt

Genetic mutations frequently disrupt protein structure, stability, and solubility, acting as primary drivers for a wide spectrum of diseases. Despite the critical importance of these molecular alterations, existing computational models often lack interpretability and fail to integrate essential physicochemical interactions. To overcome these limitations, we propose SheafLapNet, a predictive framework grounded in...

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• Deep Learning
• Mutation
• Protein Stability
• Proteins
• Solubility