Publication: Leveraging coevolutionary insights and AI-based structural modeling to unravel receptor–peptide ligand-binding mechanisms
Leveraging coevolutionary insights and AI-based structural modeling to unravel receptor–peptide ligand-binding mechanisms
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Snoeck, S., Lee, H. K., Schmid, M. W., Bender, K. W., Neeracher, M. J., Fernández-Fernández, A. D., Santiago, J., & Zipfel, C. (2024). Leveraging coevolutionary insights and AI-based structural modeling to unravel receptor–peptide ligand-binding mechanisms. Proceedings of the National Academy of Sciences of the United States of America, 121(33), :e2400862121. https://doi.org/10.1073/pnas.2400862121
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Secreted signaling peptides are central regulators of growth, development, and stress responses, but specific steps in the evolution of these peptides and their receptors are not well understood. Also, the molecular mechanisms of peptide–receptor binding are only known for a few examples, primarily owing to the limited availability of protein structural determination capabilities to few laboratories worldwide. Plants have evolved a multitude of secreted signaling peptides and corresponding transmembrane receptors. Stress-responsive SE
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Snoeck, S., Lee, H. K., Schmid, M. W., Bender, K. W., Neeracher, M. J., Fernández-Fernández, A. D., Santiago, J., & Zipfel, C. (2024). Leveraging coevolutionary insights and AI-based structural modeling to unravel receptor–peptide ligand-binding mechanisms. Proceedings of the National Academy of Sciences of the United States of America, 121(33), :e2400862121. https://doi.org/10.1073/pnas.2400862121