Christian Cambillau
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Articles (13)
Partial Atomic Model of the Tailed Lactococcal Phage TP901-1 as Predicted by AlphaFold2: Revelations and Limitations
Bacteria are engaged in a constant battle against preying viruses, called bacteriophages (or phages). These remarkable nano-machines pack and store their genomes in a capsid and inject it into the cytoplasm of their bacterial prey following specific adhesion to the host cell surface. Tailed phages possessing dsDNA genomes are the most abundant phages in the bacterial virosphere, particularly those with long, non-contractile tails. All tailed phages possess a nano-device at their tail tip that specifically recognizes and adheres to a suitable host cell surface receptor, being proteinaceous and/or saccharidic. Adhesion devices of tailed phages infecting Gram-positive bacteria are highly diverse and, for the majority, remain poorly understood. Their long, flexible, multi-domain-encompassing tail limits experimental approaches to determine their complete structure. We have previously shown that the recently developed protein structure prediction program AlphaFold2 can overcome this limitation by predicting the structures of phage adhesion devices with confidence. Here, we extend this approach and employ AlphaFold2 to determine the structure of a complete phage, the lactococcal P335 phage TP901-1. Herein we report the structures of its capsid and neck, its extended tail, and the complete adhesion device, the baseplate, which was previously partially determined using X-ray crystallography.
Year:
2023
Exploring Host-Binding Machineries of Mycobacteriophages with AlphaFold2
Mycobacteria include both saprophytes, such as the model system Mycobacterium smegmatis , and pathogens, such as Mycobacterium tuberculosis and Mycobacterium abscessus , that are poorly responsive to antibiotic treatments and pose a global public health problem. Mycobacteriophages have been collected at a very large scale over the last decade, and they have proven to be valuable tools for mycobacteria genetic manipulation, rapid diagnostics, and infection treatment.
Year:
2023
Collaborators (6)
Claire Le Marrec
Professor
Bordeaux INP
Eric Cascales
Aix-Marseille University
Marco Ventura
-
Marie-Pierre Chapot-Chartier
Université Paris-Saclay
Stephane Canaan
CNRS Délégation Provence et Corse
Adeline Goulet
-

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