Research
Research outline
Therapeutic drugs are widely used to alleviate symptoms and cure diseases. They work by a mode of action, which describes the sequence of events that is initiated by the interaction of the compound with its pharmacological target and manifest in the intended physiological change of the biological system. The quest for uncovering modes of action is of central relevance to drug discovery since it connects the actionable molecular events to a macroscopic disease outcome. Therefore, detailed insights into the mode of action help rational drug optimizations, de-risk safety aspects and improve clinical translation. Being model-based, the mode of action also enables identifying biomarkers that are associated with treatment efficacy and can assist during clinical evaluation.
Successful drugs follow a specific mode of action, and ideally in a cell type-specific manner. Yet, mode of action discovery represents a major bottleneck in drug research and development. This is mainly due to technical and conceptual challenges associated with identifying relevant perturbation signatures, which often require prior knowledge for correctly inferring biological meaning from data. The comprehensive molecular analysis of drug effects in a disease-relevant system is crucial to discover modes of action of unexplored investigational compounds. Mass spectrometry-based omics technologies, e.g. (functional) proteomics, metabolomics, lipidomics and integrated computational analysis pipelines, are powerful tools for this purpose. Our group specializes in the development of profiling techniques for mode of action discovery and verification, focussing on (chemo-)proteomics and metabolomics.
01 | Mode of Action Discovery
We investigate modes of action of investigational drugs by identifying drug targets, characterizing global perturbations and biomarker signatures, as well as delineating the expected clinical benefit. Particularly, we establish and apply analytical methods to comprehensively elucidate cellular processes. The sources of biological samples are versatile and include cells, subcellular fractions, tissues, blood and sweat.
Target identification. We employ chemoproteomic approaches to generate hypotheses about potential protein targets. Custom probes are specifically prepared for this purpose. This is a powerful strategy for target prioritization in the biological complexity, enabling a detailed description of the target landscape. We typically perform differential chemoproteomics to account for unspecific binding and probe interaction strength by dose-dependent target profiling experiments.
References:
Neuditschko et al., Angew. Chem., Int. Ed., 2022
Skos et al., Curr. Opin. Chem. Biol, 2023
Perturbation profiles. Mass spectrometry-based omics techniques aid in characterizing drug-induced perturbations because of their hypothesis-generating power. Perturbation studies are enabled by the identification of molecular events that are mapped to biological processes and the resulting perturbation networks aid in elucidating drug modes of action. Importantly, the quality of the perturbation profile is influenced by experimental and statistical workflows, which determine the number of significant and explainable molecular alterations. Rigorous bioanalytical methods are designed and employed to control the precision of experiments and maximize the information content of perturbation studies.
Reference: Bortel et al., PNAS, 2024
Degradome analysis. Proteolysis targeting chimeras (PROTACs) are bifunctional molecules designed to induce the degradation of specific proteins within a cell. We established a cycloheximide chase assay in a non-proliferative steady-state cell culture model. This approach enables the identification of PROTAC degradation targets uncoupled from confounding effects originating from cell-cycle-dependent translational patterns.
Reference: Thomas and Iellici et al., ACS Chem. Biol., 2026.
02 | Inorganic Drug Discovery
Despite the success of metal-based anticancer agents in the clinics, inorganic drug discovery programs remain purely academic to date. This can be partially explained by the perceived risks of unspecific effects and toxicity of these reactive molecules. Indeed, metal-based compounds can undergo ligand exchange, redox reactions and bind to targets via the metal centre. This is a unique feature of this compounds class, as coordinative bonds differ fundamentally from covalent bonds. On the one hand, this reactivity enables their beneficial therapeutic effects, but on the other hand, it is difficult to control. Our efforts in target identification and mode of action discovery have shown that, contrary to the still widespread believe, metal-based candidate drugs can be highly specific agents. To identify probable interactors, targets from chemoproteomics are combined with perturbation signatures of the same compound in cells because a true drug target must be causally linked to its cellular effects. The resulting target-response networks and dose-dependent target profiling have proven highly effective in prioritizing drug targets for metal-based compounds. We were able to show that the reactivity of metal-based candidate drugs can be exploited to engage hard-to-drug targets and unusual modes of action.
References:
Rosner and Skos et al., Chem. Sci., 2025.
Skos and Schmidt et al., Cell Rep. Phys. Sci., 2024.
Neuditschko et al., Angew. Chem., Int. Ed., 2021.
Plecstatin-1. We discovered plecstatin-1 (PST), a covalent organoruthenium lead structure, and first-in-class plectin inhibitor. This compound was shown to be highly selective for plectin on a proteome-wide scale. Plectin targeting by PST mirrored plectin knock-out phenotypes resulting in reduced intercellular cohesion. Moreover, PST inhibited hepatocellular tumour growth in mouse models and led to a pronounced reduction of micrometastases in the lungs of treated animals. PST can be orally administered, and the treatment is well tolerated by the animals over extended time periods. PST was also found to induce reactive oxygen species and an integrated stress response in mitochondria upon phosphorylation of eIF2α.
References:
Meier et al., Angew. Chem., Int. Ed., 2017.
(A) Target identification of the activated plecstatin-1 (PST) in whole cell lysates of HCT116 colon carcinoma cells. (B) Chemoproteomics reveals target landscapes while proteome profiling with the same compound reveals perturbation signatures and affected biological pathways. (C) Target-response network of plecstatin-1 targeting plectin (PLEC, blue) and the surrounding perturbation signature (orange). Copyright SMM.
03 | Non-Invasive Metabolic Phenotyping
Mass spectrometric analysis of metabolic parameters from the microscopic amounts of sweat from the fingertips is a promising alternative to the classical blood analysis, as it is completely non-invasive. Such finger sweat represents a rich source of physiologically and medically relevant metabolites, and enables individualised human biomonitoring, even in children. Sweat metabotyping is an exciting area of basic research and shows promise in the clinical setting for personalized medicine.
References:
Bolliger et al., EPMA J., 2025.
Brunmair et al., Nat. Commun., 2021.