Development and maintenance of a state of the art cheminformatic toolkit. Written in C++, accessible via a python api, command line tools and many more, the toolkit offers a variety of functionalities to support any drug discovery pipeline and can be seen as a competitor to RDKit and other cheminformatic toolkits.
Christian Doppler Labor “Molecular-Informatic in the Biosciences” is trying to push the boundaries of cheminformatics, machine learning and molecular simulation for predicting the biological and chemical properties of drug molecules.
Deep-learning/AI focus
One direction within our group is to utilize deep-learning algorithms to solve different problems within the drug-discover area.
Pharmacophore modeling
Neuro DeRisk