1. Model Data

2. Model Deployment for Prediction

Submit for Prediction

    Download File Example

3. Model Description

This is a partial least squares regression (PLSR) model for NanoAID-12 (Protein Adsorption).
The model was developed using a training set of 32 nanoparticles (NPs) and employed a 5-fold cross-validation procedure. Additionally, it was validated with a validation set of 4 NPs. The model's coefficient of determination (R²) for the training set is 0.668, and it has a root mean squared error (RMSE) of 0.776. For the validation set, the R² value is 0.528, with an RMSE of 0.472. The protein adsorption of NPs was measured as protein adsorption amount (μg/nanoparticle).