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An Integrated Approach for Microprotein Identification and Sequence Analysis
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SProtFP: a machine learning-based method for functional classification of small ORFs in prokaryotes.

Akshay Khanduja1, Debasisa Mohanty1

  • 1National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi 110067, India.

NAR Genomics and Bioinformatics
|January 9, 2025
PubMed
Summary

We developed SProtFP, a machine learning tool for annotating small bacterial proteins and identifying antimicrobial peptides. This method aids in understanding the function of uncharacterized proteins in microbial communities.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Small proteins (≤100 amino acids) are crucial in all life forms.
  • Functional annotation of these small proteins, especially in prokaryotes, remains challenging.
  • Identifying novel small proteins and their functions is vital for understanding microbial biology.

Purpose of the Study:

  • To develop a machine learning-based method, SProtFP, for the functional annotation of prokaryotic small proteins.
  • To enable the identification of small open reading frame (smORF)-encoded antimicrobial peptides (AMPs).
  • To facilitate large-scale functional annotation of microbiome datasets, particularly those with low sequence homology.

Main Methods:

  • SProtFP utilizes independent artificial neural networks (ANNs) trained on physicochemical descriptors.
  • Classification categories include antitoxin type 2, bacteriocin, DNA-binding, metal-binding, ribosomal protein, RNA-binding, type 1 toxin, and type 2 toxin proteins.
  • A separate model was trained for identifying smORF-encoded antimicrobial peptides (AMPs).

Main Results:

  • SProtFP achieved high performance with an average ROC-AUC of 0.92 (10-fold cross-validation) and 0.94/0.93 on test sets.
  • The method successfully identified thousands of remote homologs and assigned functions to uncharacterized proteins in human gut microbiome data.
  • Demonstrated utility for large-scale annotation of microbiome datasets, even with low sequence homology.

Conclusions:

  • SProtFP is an effective tool for the functional annotation of prokaryotic small proteins and smORF-encoded AMPs.
  • The method significantly enhances the discovery of novel small proteins and their functions in microbial communities.
  • SProtFP is available online and can be integrated with other genome annotation tools for comprehensive analysis.