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Updated: Jan 29, 2026

Screening and Identification of Small Peptides Targeting Fibroblast Growth Factor Receptor2 using a Phage Display Peptide Library
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Feature-Based Growth Curve Classification Enables Efficient Phage Discrimination.

Yuma Oka1, Keidai Miyakawa1, Moe Yamazaki1

  • 1H.U. Group Research Institute G.K., Akiruno 197-0833, Tokyo, Japan.

Viruses
|January 28, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel co-culture growth curve analysis to quickly screen bacteriophages for phage therapy. This method efficiently identifies promising therapeutic phages from environmental sources, reducing the need for extensive characterization.

Keywords:
bacteriophage screeninggrowth curve analysisphage therapyunsupervised clustering

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Phage Therapy

Background:

  • Personalized phage therapy requires rapid isolation of therapeutic bacteriophages from environmental sources when existing banks are insufficient.
  • Comprehensive characterization of all phage candidates is resource-intensive, especially when plaque morphologies are similar and cannot differentiate distinct phages.

Purpose of the Study:

  • To develop and validate an upstream screening approach using co-culture growth curve analysis for rapid triage of bacteriophage isolates.
  • To improve the efficiency and scalability of identifying novel therapeutic phages for clinical applications.

Main Methods:

  • Extraction of seven biologically meaningful features from bacterial growth curves, capturing lysis kinetics, efficiency, and post-lysis dynamics.
  • Application of unsupervised clustering algorithms for phage discrimination based on extracted features.
  • Validation using T-phages and application to phages isolated from sewage samples.

Main Results:

  • The co-culture growth curve analysis demonstrated superior clustering performance (Adjusted Rand Index = 0.881 ± 0.057) compared to Virulence Index and Centroid Index.
  • The approach successfully identified all three genomically distinct phage species from sewage samples (sampling score = 1.0).
  • Reduced candidates requiring detailed analysis by two-thirds (from 21 to 7 isolates) while maintaining complete species coverage.

Conclusions:

  • Co-culture growth curve analysis provides an efficient and scalable screening tool for bacteriophages.
  • This method accelerates the discovery of novel therapeutic phages by reducing workload for downstream analyses.
  • Enables targeted selection of representative phages, advancing personalized phage therapy development.