Arabidopsis Stress Protein Predictor
A machine-learning project exploring protein-sequence representations and stress-related protein prediction.
A research and innovation portfolio that distinguishes evidence, prototypes, active development and exploratory concepts.
A machine-learning project exploring protein-sequence representations and stress-related protein prediction.
A comparative bioinformatics workflow for predicted peroxisomal targeting signals and orthology relationships across plant and algal proteomes.
A structured learning repository containing notebooks, scripts, datasets, model cards and reproducible project resources.
Reusable systems for literature analysis, scientific writing, research planning, meetings and professional documentation.
Structured systems for manuscript development, editing, print formatting, cover preparation and educational content creation.
Early-stage exploration of protein-based agricultural technologies and AI-supported decision systems.