2024
DOI: 10.1007/s12551-024-01201-w
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Structure-based prediction of protein-nucleic acid binding using graph neural networks

Jared M. Sagendorf,
Raktim Mitra,
Jiawei Huang
et al.

Abstract: Protein-nucleic acid (PNA) binding plays critical roles in the transcription, translation, regulation, and three-dimensional organization of the genome. Structural models of proteins bound to nucleic acids (NA) provide insights into the chemical, electrostatic, and geometric properties of the protein structure that give rise to NA binding but are scarce relative to models of unbound proteins. We developed a deep learning approach for predicting PNA binding given the unbound structure of a protein that we call … Show more

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