Biomarkers have a central role in the non-clinical drug discovery as well as in the clinical development processes. Biomarkers can be sought after to e.g. allow measurements of the intervention’s safety and efficacy, eventually leading to applications in the compound’s further development, diagnostics, patient stratification. We provide protein based biomarker discovery and verification platform combined with the required statistical, bioinformatics and computational systems biology data analysis.
Proteomics is the study of the complete set of proteins that is expressed at a given time in a cell, tissue, organ or organism, i.e. the proteome. Proteins are the machinery of the cell, responsible for performing the functions essential for cells to operate, survive, grow and divide. Proteins are also e.g. responsible for relaying signals or messages within and between cells that drive biological and metabolic processes. We provide comprehensive experience in proteomics methods.
Phenotypic or cell based high-content screening campaigns have again gained popularity in many drug discovery projects. Whilst the hits obtained from phenotypic screening campaigns are often of better quality than from target based approaches, the question of identifying the binding target(s) remain. In addition, a ligand designed to act ona given target may be able to interact with other proteins as well. We provide the expertise to identify the ligand-protein interactions and analyse binding in detail.
In vitro cell models form an important part of the early drug discovery. These models are used to screen the efficacy and ensure the safety of the developed compounds. Availability of different immortalized cell lines also allows quickly to screen specificity and broadness of e.g. efficacy. We provide expertise in various pre-setup in vitro cell models as well as in design customized in vitro assays. Our analysis methods include various spectrophotometric techniques, targeted mRNA quantification, targeted protein analysis as well as comprehensive proteomics analysis.