Publication: Enhancing coevolutionary signals in protein-protein interaction prediction through clade-wise alignment integration
Enhancing coevolutionary signals in protein-protein interaction prediction through clade-wise alignment integration
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Fang, T., Szklarczyk, D., Hachilif, R., & von Mering, C. (2024). Enhancing coevolutionary signals in protein-protein interaction prediction through clade-wise alignment integration. Scientific Reports, 14, 6009. https://doi.org/10.1038/s41598-024-55655-9
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Protein-protein interactions (PPIs) play essential roles in most biological processes. The binding interfaces between interacting proteins impose evolutionary constraints that have successfully been employed to predict PPIs from multiple sequence alignments (MSAs). To construct MSAs, critical choices have to be made: how to ensure the reliable identification of orthologs, and how to optimally balance the need for large alignments versus sufficient alignment quality. Here, we propose a divide-and-conquer strategy for MSA generation: in
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- Fang, Tao
- Szklarczyk, Damian
- Hachilif, Radja
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Fang, T., Szklarczyk, D., Hachilif, R., & von Mering, C. (2024). Enhancing coevolutionary signals in protein-protein interaction prediction through clade-wise alignment integration. Scientific Reports, 14, 6009. https://doi.org/10.1038/s41598-024-55655-9
