Publication:

Leveraging coevolutionary insights and AI-based structural modeling to unravel receptor–peptide ligand-binding mechanisms

Date

Date

Date
2024
Journal Article
Published version

Citations

Citation copied

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

Abstract

Abstract

Abstract

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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30 since deposited on 2025-01-10
Acq. date: 2025-11-13

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74 since deposited on 2025-01-10
Acq. date: 2025-11-13

Additional indexing

Creators (Authors)

  • Snoeck, Simon
    affiliation.icon.alt
  • Lee, Hyun Kyung
    affiliation.icon.alt
  • Schmid, Marc W
    affiliation.icon.alt
  • Bender, Kyle W
    affiliation.icon.alt
  • Neeracher, Matthias J
    affiliation.icon.alt
  • Fernández-Fernández, Alvaro D
    affiliation.icon.alt
  • Santiago, Julia
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
121

Number

Number

Number
33

Page range/Item number

Page range/Item number

Page range/Item number
:e2400862121

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2024-08-06

Date available

Date available

Date available
2025-01-10

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0027-8424

OA Status

OA Status

OA Status
Hybrid

Free Access at

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Free Access at
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PubMed ID

PubMed ID

PubMed ID

Metrics

Downloads

30 since deposited on 2025-01-10
Acq. date: 2025-11-13

Views

74 since deposited on 2025-01-10
Acq. date: 2025-11-13

Citations

Citation copied

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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