Production-grade ML pipeline for predicting protein thermostability mutations using XGBoost, NSGA-II optimization, RAG, and TRIZ-based reasoning. Combines biophysical feature engineering with multi-objective evolutionary optimization.
machine-learning bioinformatics biopython xgboost evolutionary-algorithms protein-stability nsga-ii triz protein-engineering computaional-biology
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Updated
Feb 5, 2026 - Python