Leveraging Crosslinks for Template Retrieval

Cross-Link Mass Spectometry is an experimental technique that provides residue distance constraints on the native structure. The method has been previously used to guide ab initio protein structure prediction. You will develop in this thesis a method that leverages cross-links to find homologous structures to the target in the PDB. For that, you will compare the distance constraints provided by cross-links with simulated cross-links for the templates from the PDB.

Requirements: Good Python programming skills, computational biology course or similar knowledge.

Contact Persons 

Kolja Stahl and Stefan Junghans