Welcome to Small Signalling Peptide Analysis

Version 1.1

Small Signalling Peptides (SSPs) are key regulatory molecules in plants, typically composed of fewer than 250 amino acids (AAs), with the mature, functional form often shorter than 20 AAs. Despite their small size, SSPs play critical roles in growth and development, stress responses, symbiotic interactions, and cell-to-cell communication.

Launch Analyst Tool

About S2-PepAnalyst

Our web tool, S2-PepAnalyst, is designed to predict SSPs from input sequences or uploaded files (FASTA/FA/TXT) and identify functional similarities across peptide families (e.g., CLE, RALF, PEP). While the abbreviation ‘SSP’ is sometimes used generically for small secreted peptides, this web focuses on peptides with confirmed or predicted signalling functions (i.e., peptide ligands). Unlike conventional approaches that treat signal peptide identification, size filtering, and downstream validation as separate steps, our tool unifies them into a single, optimized pipeline.

Key Features

Quick-Start Guide

1. Input Options

  • Paste a single sequence (e.g., CLE or PEP precursors) in the text box
  • OR upload a file (FASTA/FA/TXT) containing multiple sequences
  • Use our File Converter if needed to format your data

2. Select Parameters

  • Choose species (e.g., tomato or Arabidopsis) for tailored analysis
  • Adjust confidence threshold (default: 0.8)

3. Submit & Analyze

  • Results display predicted SSPs, classification and family similarities
  • Download full reports in CSV format

4. Peptide-Receptor 3D Structure Prediction

  • Use AlphaFold2 in Colab to predict 3D complex structures (requires known mature peptide sequence)