Protein design of novel immunotherapeutic drugs
antibodies - gene therapy - vaccines - cellular therapies - peptides
at Leipzig University, Medical Faculty, Institute for Drug Discovery
Our Research InterestsWe use computational protein design including machine learning to design proteins with new functionalities. Through interchanging application of computational protein design and experimental validation, we design a new generation of protein drugs.
- Machine Learning (Language models, ProteinMPNN, ...)
Protein are expressed either via bacterial or mammalian expression systems. Subsequently, they are purified and characterized using the following techniques and instruments:
- Size exclusion chromatography, IMAC, IEX
- ELISA, SPR, BLI
- X-ray crystallography, biomolecular NMR
- nanoDSF, ITC
- activity assays
- antibodies, Fabs, scFvs
- antibody-antigen interactions
- glycosylation sites
- vaccines, epitope-focused vaccines or prefusion stabilized glycoproteins
- viral capsid proteins
- peptides (for GPCRs)
check out: Schoeder and Schmitz et al.
Some of our projects:
Funding of the lab
We thank RosettaCommons, the state of Saxony, the Faculty of Medicine of Leipzig University, the Coalition for Epidemic Preparedness Innovations (CEPI), the ScaDS.AI and the DAAD for their contributions to our research.
We are part of the SFB1423 "Structural Dynamics of GPCR Signaling". Check it out here: research.uni-leipzig.de/sfb1423/
clara.schoeder[at]medizin.uni-leipzig.deLeipzig University Medical FacultyInstitute for Drug DiscoveryLiebigstr. 19D-04103 Leipzig