Protein multi-level structure feature-integrated deep learning method for mutational effect prediction.

Abstract excerpt

Through iterative rounds of mutation and selection, proteins can be engineered to enhance their desired biological functions. Nevertheless, identifying optimal mutation sites for directed evolution remains challenging due to the vastness of the protein sequence landscape and the epistatic mutational effects across residues. To address this challenge, we introduce MLSmut, a deep learning-based approach that...

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• Computational Biology
• Databases, Protein
• Deep Learning
• Mutation
• Protein Engineering