Article

CS-Fold: Advancing RNA Structure Predictions through Phylogenetic Modelling of Compensatory Mutations in Deep Neural Networks

2025-04-28

Abstract excerpt

Accurate prediction of RNA secondary structures is essential for understanding the conformation, function, and interactions of RNA. Leveraging co-evolutionary information across species through multiple sequence alignments (MSAs) has been proven to be effective in improving molecular structure predictions. However, existing deep learning approaches do not explicitly incorporate compensatory substitutions along the...

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Literature Corpus work: 7d9360f5-8992-55ed-8eb9-995f1ce1e34a
DOI: 10.1101/2025.04.27.650904

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