Nicole Soto-García

The paper evaluates how data preprocessing steps affect protein function prediction performance using antioxidant protein classification.

MAOMAO integrates and harmonizes peptide toxicity data from 54 sources to create a FAIR resource with standardized terminology and benchmark partitions for toxicity research.

This paper uses AI to discover and design plastic-degrading enzymes, achieving 89% accuracy in classification and generating new enzyme sequences with improved properties for PET degradation.

RUDEUS is a machine learning system that identifies DNA-binding proteins and classifies their DNA interaction type, achieving high precision in both tasks.

Peptipedia v2.0 expands its peptide database by 45% and integrates machine learning models to annotate peptide sequences with biological activities.