HIV-1 Protease Inhibitor Resistance Prediction: Logistic Regression Coefficients

This repository contains trained logistic regression model coefficients for HIV-1 protease inhibitor resistance prediction. We provide coefficients for two complementary approaches: zScales-based models (capturing physicochemical properties) and Rosetta energy terms-based models (capturing structural energetics). Data covers eight protease inhibitors (DRV, FPV, ATV, IDV, LPV, NFV, SQV, TPV) using the Stanford HIV Drug Resistance Database.

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