A NanoFE Simulation-based Surrogate Machine Learning Model to Predict Mechanical Functionality of Protein Networks from Live Confocal Imaging
P. Asgharzadeh, A. I. Birkhold, Z. Trivedi, B. Özdemir, R. Reski, O. Röhrle
The paper develops a machine learning model using live confocal imaging and nanoFE simulations to predict mechanical properties of FtsZ protein networks in moss chloroplasts.
bioRxiv · Mar 27, 2020Bioengineering