JanusDDG: a physics-informed neural network for sequence-based protein stability via two-fronts attention.

Abstract excerpt

Predicting how residue variations affect protein stability is crucial for rational protein design and for assessing the impact of disease-related mutations. Recent advances in protein language models have revolutionized computational protein analysis, enabling more accurate predictions of mutational effects. However, balancing predictive accuracy with the fundamental laws of thermodynamics remains a challenge for...

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• Computational Biology
• Deep Learning
• Mutation
• Neural Networks, Computer
• Protein Stability