Verónica G. Doblas

What does domain-specific pretraining buy? A 170,000-parameter plant peptide language model against the ESM-2 scaling curve

The paper trains a domain-specific plant peptide language model and compares its performance to generalist models, finding domain pretraining provides significant efficiency gains.

Foundational characterization of tomato fruit RALF peptides reveals structural and functional specialization within the SlRALF

The paper characterizes tomato fruit RALF peptides, showing structural and functional differences among SlRALF5, SlRALF7, and SlRALF10, with distinct roles in growth and cell wall signaling.

Multimodal Learning Reveals Plants' Hidden Sensory Integration Logic

The paper uses multimodal analysis to uncover how fungal symbionts reprogram plant sensory systems through coordinated transcriptional, metabolic, and phenotypic responses, revealing novel integration hubs and mechanisms.

S2-PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides

S2-PepAnalyst predicts plant small signalling peptides with high accuracy using machine learning and integrates plant-specific datasets.