eSSENCE@LU 5:1 - Bayesian inference of self-assembly pathways of viruses

Project: Research

Project Details

Description

The overall goal of our research is to determine how protein subunits self-assemble into larger assemblies.

To address this problem, we combine methods to model protein structure and small-angle scattering data with state-of-the-art methods in mathematical statistics. This will result in a general method for analysing data from time-resolved scattering experiments of self-assembling protein systems using a statistical approach that goes far beyond the state-of-the-art in this area.
Short titleeSSENCE@LU 5:1
StatusFinished
Effective start/end date2018/01/012020/12/31

Funding

  • eSSENCE: The e-Science Collaboration

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being