Journal article
Using AlphaFold Multimer to discover interkingdom protein-protein interactions
- Abstract:
- Structural prediction by artificial intelligence can be powerful new instruments to discover novel protein–protein interactions, but the community still grapples with the implementation, opportunities and limitations. Here, we discuss and re-analyse our in silico screen for novel pathogen-secreted inhibitors of immune hydrolases to illustrate the power and limitations of structural predictions. We discuss strategies of curating sequences, including controls, and reusing sequence alignments and highlight important limitations caused by different platforms, sequence depth and computing times. We hope these experiences will support similar interactomic screens by the research community.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 1.9MB, Terms of use)
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- Publisher copy:
- 10.1111/tpj.16969
Authors
+ European Research Council
More from this funder
- Funder identifier:
- https://ror.org/0472cxd90
- Grant:
- 101019324
- 101019324
+ Biotechnology and Biological Sciences Research Council
More from this funder
- Funder identifier:
- https://ror.org/00cwqg982
- Grant:
- DDT00230
- Publisher:
- Wiley
- Journal:
- The Plant Journal More from this journal
- Volume:
- 120
- Issue:
- 1
- Pages:
- 19-28
- Place of publication:
- England
- Publication date:
- 2024-08-17
- Acceptance date:
- 2024-07-25
- DOI:
- EISSN:
-
1365-313X
- ISSN:
-
0960-7412
- Pmid:
-
39152709
- Language:
-
English
- Keywords:
- Pubs id:
-
2023089
- Local pid:
-
pubs:2023089
- Deposit date:
-
2025-04-29
Terms of use
- Copyright holder:
- Homma et al.
- Copyright date:
- 2024
- Rights statement:
- © 2024 The Author(s). The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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