A QSAR approach to predict protein precipitation by polyethylene glycol is presented. The generated QSAR models allow the prediction of precipitation curves for new proteins. Valuable insights about the properties influencing the precipitation behavior were gained. The methodology forwards computer-aided process design and process understanding following the tenet of QbD.