36CQ image
Deposition Date 2026-06-01
Release Date 2026-06-17
Last Version Date 2026-08-19
Entry Detail
PDB ID:
36CQ
Keywords:
Title:
Structure of the PhiX174 bacteriophage
Biological Source:
Source Organism(s):
Expression System(s):
Method Details:
Experimental Method:
Resolution:
2.76 Å
Aggregation State:
PARTICLE
Reconstruction Method:
SINGLE PARTICLE
Macromolecular Entities
Polymer Type:polypeptide(L)
Molecule:DNA-binding protein J
Gene (Uniprot):J
Chain IDs:A
Chain Length:0
Number of Molecules:1
Biological Source:Sinsheimervirus
Polymer Type:polypeptide(L)
Molecule:Capsid protein F
Gene (Uniprot):F
Chain IDs:B
Chain Length:0
Number of Molecules:1
Biological Source:Sinsheimervirus
Polymer Type:polypeptide(L)
Molecule:Major spike protein G
Chain IDs:C
Chain Length:0
Number of Molecules:1
Biological Source:Sinsheimervirus
Ligand Molecules
Primary Citation
Generative design of bacteriophages with genome language models.
Science 393 eaec2657 eaec2657 (2026)
PMID: 42561074 DOI: 10.1126/science.aec2657

Abstact

Many important biological functions arise not from single genes but from complex interactions encoded by entire genomes. We report the first generative design of complete bacteriophage genomes using genome language models. We generated viable bacteriophages with target host tropism, using the phage PhiX174 as our design template. Experimental testing yielded 16 phages with diverse fitness profiles in laboratory conditions. Cryo-electron microscopy confirmed that a generated phage utilizes an evolutionarily distant DNA packaging protein in its capsid. A cocktail of generated phages rapidly overcomes PhiX174-resistant Escherichia coli strains, demonstrating a path toward artificial intelligence-generated phage therapies against rapidly evolving bacterial pathogens. This work provides a blueprint for the design of diverse synthetic bacteriophages and useful biological systems at the genome scale.

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Primary Citation of related structures
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