S<sup>2</sup>-PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides.
Vomo-Donfack KL, Abaach M, Luna AM, Ginot G, Doblas VG, Morilla I.
Plant Signaling
Unlocking the hidden chemical language plants use to coordinate growth and fight stress could directly lead to crop varieties that need less water, resist pests without pesticides, or produce higher yields on the same land.
Plants are constantly sending tiny chemical messages between their cells to coordinate growth, defend against disease, and cope with dry spells — but these messages are so small and fleeting that scientists have struggled to find them all. A new free computer tool can now scan a plant's genetic blueprint and spot these messengers automatically, even unusual ones that don't follow the normal rules. This opens the door to discovering a whole library of plant communication signals that researchers didn't even know existed.
Key Findings
S2-PepAnalyst achieved 99.5% predictive accuracy when validated against experimentally confirmed plant signaling peptides.
The tool successfully classified peptides into functionally distinct families, including CLE (cell growth/development) and RALF (root and pollen signaling) families.
The system identified non-canonical signaling peptides that lack traditional signal sequences, revealing a broader diversity of plant communication molecules than previously recognized.
chevron_right Technical Summary
Researchers built a free web tool called S2-PepAnalyst that uses machine learning to find and classify tiny molecular messengers in plants — called small signaling peptides — with 99.5% accuracy. These peptides control everything from how plants grow to how they respond to drought and disease, and many have been impossible to detect until now.
Abstract Preview
Small signalling peptides (SSPs) serve as crucial mediators of cell-to-cell communication in plants, orchestrating diverse physiological processes from development to stress responses. While recent...
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