Technische Universität München
Professur für AI-Guided Protein Design (Prof. Schlichthärle)
Lichtenbergstr. 4
85748 Garching b. München
Our lab focuses on AI-Guided Protein Design to engineer cellular decision-making, with the goal of creating synthetic proteins that can modulate, sense, or reprogram signal transduction in a controlled and context-dependent manner. We work at the interface of machine learning, structural biology, synthetic biology and biomedicine, combining deep learning-based structure prediction and generative design with experimental validation in cell-based systems.
Our research builds on and aims to further develop recent breakthroughs in diffusion models, sequence design networks, and third-generation structure prediction tools to design therapeutic binding domains, scaffolds, and synthetic receptors with precise spatial and functional control. Applications span from fundamental studies of receptor clustering and signaling to programmable receptors for cell therapy and regenerative medicine.
We are based at the TUM School of Natural Sciences in Garching and are embedded within the Center for Functional Protein Assemblies, the Center for Smart Drug Design and the newly approved Cluster of Excellence “Biosystems Design Munich (BiosysteM)".
Nature
Abstract: Endocytosis and lysosomal trafficking of cell surface receptors can be triggered by endogenous ligands. Therapeutic approaches such as lysosome-targeting chimaeras1,2 (LYTACs) and cytokine…
Nature
Abstract: Despite recent advances in mammalian synthetic biology, there remains a lack of modular synthetic receptors that can robustly respond to soluble ligands and, in turn, activate bespoke cellular…
Nature Communications
Abstract: Immune receptors have emerged as critical therapeutic targets for cancer immunotherapy. Designed protein binders can have high affinity, modularity, and stability and hence could be attractive…
Nature Methods
Abstract: We present a way to encode more information in fluorescence imaging by splitting the original point spread function (PSF), which offers broadband operation and compatibility with other PSF engineering…
Cell
Abstract: Many growth factors and cytokines signal by binding to the extracellular domains of their receptors and driving association and transphosphorylation of the receptor intracellular tyrosine kinase…
Frontiers in Dental Medicine
Abstract: In the published article, there was an error in the author list, and authors Natasha I. Edman and Thomas Schlichthaerle were erroneously excluded. The corrected author list and affiliations appear…
Nature
Abstract: Fluorescence microscopy, with its molecular specificity, is one of the major characterization methods used in the life sciences to understand complex biological systems. Super-resolution approaches…
Nature Communications
Abstract: Single-molecule localization microscopy super-resolution methods rely on stochastic blinking/binding events, which often occur multiple times from each emitter over the course of data acquisition.…
Science
Abstract: The binding and catalytic functions of proteins are generally mediated by a small number of functional residues held in place by the overall protein structure. Here, we describe deep learning…
ChemPhysChem
Abstract: Improving labeling probes for state-of-the-art super-resolution microscopy is becoming of major importance. However, there is currently a lack of tools to quantitatively evaluate probe performance…
| Titel | Termine | Dauer | Art | Vortragende/r (Mitwirkende/r) |
|---|---|---|---|---|
| Physikalische Biochemie, Vortragsseminar (CH0410b) |
|
2 | SE | |
| Rezeption wissenschaftlicher Literatur (CH5041) |
|
5 | SE |
| Titel | Termine | Dauer | Art | Vortragende/r (Mitwirkende/r) |
|---|---|---|---|---|
| Chemie der Wirkstoffkunde (CH0156) |
|
3 | VI |