biomedical ai / research
EGFR mutant drug-binding prediction
a biomedical AI research project studying how EGFR mutations affect ligand-target binding predictions.
featuredresearch
overview
Built data pipelines around EGFR, biochemical affinity datasets, mutation-specific filtering, model predictions, and benchmarking to evaluate drug-target binding behavior across mutants.
why it matters
EGFR mutations can change how drug-binding behavior should be interpreted. this project explores how mutation-aware filtering and benchmarking can make model outputs more biologically useful.
what i built
- built EGFR-focused data pipelines around mutation-specific biochemical affinity records.
- filtered and organized BindingDB-style ligand-target data for model evaluation.
- benchmarked drug-binding predictions across mutation-aware subsets.
- focused on making model outputs easier to interpret in a biomedical research context.