Computational Systems Biology (CDL3)

Ongoing projects in the CDL3 include modeling the structures of proteins and protein interactions using different data modalities, such as those from high-spatial resolution techniques such a X-ray crystallography and single particle electron cryomicroscopy, to complementary low-resolution methods such as cross-linking mass spectrometry, as well as combining these experimental data with predictions from deep learning tools such as AlphaFold.

Aside from uncovering previously unknown biological pathways, protein interaction prediction and modeling can contribute to drug discovery and our knowledge of human disease progression.