Title:	Analyzing cryo electron microscopy data with artificial intelligence
DNr:	Berzelius-2025-9
Project Type:	LiU Berzelius
Principal Investigator:	Anna-Lena Fischer <anna.lena.fischer@kemi.uu.se>
Affiliation:	Uppsala universitet
Duration:	2025-01-13 – 2025-08-01
Classification:	10203
Keywords:

Abstract

Machine learning models have been proven to be powerful tools in aiding the solution and validation of structures and dynamics of proteins and thus enlighten the understanding of molecular functions. Combining these models with experimental results can unravel previously unexplained phenomena in proteins. For this project, we would like to take advantage of alphafold for structure prediction and train a new neural network for analyzing cryo electron microscopy data to identify different protein species on the grid enabling more sufficient data analysis. Furthermore, we need to refine our previous model about protein ensemble generation upon cryo-EM images, which paper is currently under revision. Additionally, there are also some ideas of using machine learning for investigating time-resolved X-ray crystallography.