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Cracking the code of cellular protein–protein interactions: Alphafold and whole‐cell crosslinking to the rescue

Integration of experimental and computational methods is crucial to better understanding protein–protein interactions (PPIs), ideally in their cellular context. In their recent work, Rappsilber and colleagues (O'Reilly et al, 2023) identified bacterial PPIs using an array of approaches. They co...

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Detalles Bibliográficos
Autores principales: Träger, Toni, Kastritis, Panagiotis L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090940/
https://www.ncbi.nlm.nih.gov/pubmed/36896624
http://dx.doi.org/10.15252/msb.202311587
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author Träger, Toni
Kastritis, Panagiotis L
author_facet Träger, Toni
Kastritis, Panagiotis L
author_sort Träger, Toni
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description Integration of experimental and computational methods is crucial to better understanding protein–protein interactions (PPIs), ideally in their cellular context. In their recent work, Rappsilber and colleagues (O'Reilly et al, 2023) identified bacterial PPIs using an array of approaches. They combined whole‐cell crosslinking, co‐fractionation mass spectrometry, and open‐source data mining with artificial intelligence (AI)‐based structure prediction of PPIs in the well‐studied organism Bacillus subtilis. This innovative approach reveals architectural knowledge for in‐cell PPIs that are often lost upon cell lysis, making it applicable to genetically intractable organisms such as pathogenic bacteria.
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spelling pubmed-100909402023-04-13 Cracking the code of cellular protein–protein interactions: Alphafold and whole‐cell crosslinking to the rescue Träger, Toni Kastritis, Panagiotis L Mol Syst Biol News & Views Integration of experimental and computational methods is crucial to better understanding protein–protein interactions (PPIs), ideally in their cellular context. In their recent work, Rappsilber and colleagues (O'Reilly et al, 2023) identified bacterial PPIs using an array of approaches. They combined whole‐cell crosslinking, co‐fractionation mass spectrometry, and open‐source data mining with artificial intelligence (AI)‐based structure prediction of PPIs in the well‐studied organism Bacillus subtilis. This innovative approach reveals architectural knowledge for in‐cell PPIs that are often lost upon cell lysis, making it applicable to genetically intractable organisms such as pathogenic bacteria. John Wiley and Sons Inc. 2023-03-10 /pmc/articles/PMC10090940/ /pubmed/36896624 http://dx.doi.org/10.15252/msb.202311587 Text en © 2023 The Authors. Published under the terms of the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle News & Views
Träger, Toni
Kastritis, Panagiotis L
Cracking the code of cellular protein–protein interactions: Alphafold and whole‐cell crosslinking to the rescue
title Cracking the code of cellular protein–protein interactions: Alphafold and whole‐cell crosslinking to the rescue
title_full Cracking the code of cellular protein–protein interactions: Alphafold and whole‐cell crosslinking to the rescue
title_fullStr Cracking the code of cellular protein–protein interactions: Alphafold and whole‐cell crosslinking to the rescue
title_full_unstemmed Cracking the code of cellular protein–protein interactions: Alphafold and whole‐cell crosslinking to the rescue
title_short Cracking the code of cellular protein–protein interactions: Alphafold and whole‐cell crosslinking to the rescue
title_sort cracking the code of cellular protein–protein interactions: alphafold and whole‐cell crosslinking to the rescue
topic News & Views
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090940/
https://www.ncbi.nlm.nih.gov/pubmed/36896624
http://dx.doi.org/10.15252/msb.202311587
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