Multiscale Probabilistic Modeling: A Bayesian Approach to Augment Mechanistic Models of Cell Signaling with Machine-Learning Predictions of Binding Affinity
Holly A. Huber, Stacey D. Finley
This paper introduces a multiscale probabilistic framework to improve cell signaling model parameter estimation by integrating protein sequence and structure data from databases.