Article

Overcoming Extrapolation Challenges of Deep Learning by Incorporating Physics in Protein Sequence-Function Modeling

2025-11-11

Abstract excerpt

Understanding protein sequence-to-function relationship is crucial to assist studies of genetic diseases, protein evolution, and protein engineering. The sequence-to-function relationship of proteins is inherently complex due to multi-site high-dimensional correlation and structural dynamics. Deep learning algorithms such as (graph) convolutional neural networks and recently transformers have become very popular f...

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Literature Corpus work: c68ffc92-8ea5-50c8-bb65-3948f93956a7
DOI: 10.1101/2025.11.09.687530

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