Phage tail fibers are structurally classified into 16 distinct classes and 89 domains using the RBPseg pipeline, which segments and models fibers based on structural features.Overview of Tail Fiber Cl...
Tail fibers are a major class of receptor-binding proteins (RBPs) in bacteriophages. They are typically elongated, flexible, and trimeric, making experimental resolution of their full-length structures challenging . To address this, the RBPseg pipeline uses deep learning-based protein structure prediction tools like ESMFold and AlphaFold2-multimer (AF2M) to segment tail fiber sequences into smaller, manageable fractions while preserving domain boundaries .
Using this approach, 67 tail fibers were analyzed, resulting in:
Tail fibers attach to host receptors such as outer membrane proteins, exopolysaccharides, and flagella. The classification helps predict binding specificity and structural adaptations, which are critical for understanding phage-host interactions and designing phage-based applications .
The Tail Fiber Classification Code refers to the structural categorization of phage tail fibers into 16 classes and 89 domains using computational segmentation and modeling. RBPseg enables high-confidence structural predictions, providing a framework for studying the diversity and evolution of these essential viral proteins .
Factory RBPseg: A Tool for Tail Fiber Structure Prediction Table of Contents About Installation Requirements Usage Examples Example 1:
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Factory RBPseg is a pipeline designed to predict and analyze phage tail fiber proteins. It has three major modules.
Factory A structural classification of 67 fibers identified 16 distinct classes and 89 domains, revealing patterns of modularity,
Factory Tail bers, a major class of RBPs, are elongated and exible trimeric pro-teins, making their full- length structures di cult to resolve
Factory Here, we introduce RBPseg, a method that combines monomeric ESMFold predictions with a structural- based domain
Factory To validate our approach, we used single-particle cryo-electron microscopy to analyze five tail fibers from three phages of the BASEL
Factory We identified 3,445 eCIS tail fiber proteins found in 2,585 eCIS loci from 1,069 microbes. These fibers can be categorized by five new
Factory Additionally, we conducted a structural classification of 67 fibers and their domains, which identified 16 well-defined tail fiber classes
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Factory Classification of Tail Fibers Similar to fiber optic jumpers, tail fibers are classified into single-mode and multimode
Factory Overall, our approach provides a robust solution for predicting, classifying, and characterizing phage tail -bers, o ering insights into
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Factory RBPseg: A Tool for Tail Fiber Structure Prediction Table of Contents About Installation Requirements Usage Examples Example 1:
Factory Our findings suggest the existence of modular fibers as well as fibers with different sequences and shared structure,
Factory Using this approach, we generated complete tail fiber models, validated by single- particle cryo–electron microscopy of
Factory A structural classification of 67 fibers identified 16 distinct classes and 89 domains, revealing patterns of modularity,
Factory The TC classes and its members (part 1) colored based on sequence 728 conservation. The sequence conservation of each TC
Factory About RBPseg is a pipeline designed to predict and analyze phage tail fiber proteins. It has three major modules.
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