The study of peptides, peptide-drug conjugates, or oligonucleotides

The study of peptides, peptide-drug conjugates, or oligonucleotides or in general the so call new modalities is an important field in the discovery and development of new medicines. In this area we offer applications to automatize the process for metabolites or degradation products finding and structural elucidation as well as the analysis of Chemical synthesis of these compounds. The experimental data can be obtained from Liquid Chromatography and Mass Spectrometry together with ultraviolet, fluorescence and/or radiotrace. In all cases our system helps in the automation of the chromatographic data analysis finding the chromatographic peaks related to the compound of interest, but also the structure elucidation from the MS data extracted. One of the functions that is also added in this case is the compound visualization, since they are usually quite big (medium to high molecular weight) the structural visualization is a handicap that we have addressed with our proprietary compound visualization. The nature of this type of compounds that are polymers is not a limitation to our approaches because we treat the compounds as a atoms/bonds like any other chemical entity, but in this case the visualization considers that there are monomer units that are easier to visualize.


One of our key aspects in the data interpretation area is our ability to read and interpret data from multiple instrument vendors, harmonizing the operation and the output independent of the instrument and acquisition mode used, therefore reducing the time an expert need to dedicate to learn multiple software from the different vendors. We have collaborated with the instrument vendors to make the user experience as good as possible.

The transformation of the analytical data to information in a fast and automate fashion is not really the end of the process, on the contrary it is the starting to take informed decisions on how to proceed on assay utilization, structure optimization, formulation selection, hypothesis validation, compound characterization, etc. Therefore, we are providing not only tools to analyze data but also to use the information generated from that analysis to develop for example Machine Learning model for multiple end points, or reporting the results comparing multiple experiments types or learn from the data about what are the bonds that are more labile under the experimental conditions considered. Therefore, the user can make informed decisions in the Design-Synthesis-Test cycle that follows the scientific methodology in the development of a new medicine.

Since we are not limited to any specific workflow and has a high degree of flexibility our solutions are useful for Drug Metabolism and Pharmacokinetic departments, life sciences, Chemistry, Omics, translational medicine, etc.

Chemical structure of a molecule of glucagon. Glucagon is a peptide hormone, produced in the pancreas, that has the opposite effect of insulin.

MS, UV, NMR, Radiotrace and Fluorescense

Data Analysis



Laboratory research on the computer. Checking chemical parameters of the substance.