Prediction of In Vivo Pharmacokinetic Parameters and Time− Exposure Curves in Rats Using Machine Learning from the Chemical Structure Published in Molecular Pharmaceutics, the paper describes the particularly challenging use of Alchemite to predict in vivo...
Early Development Medicinal Chemistry: Utilizing Data and Artificial Intelligence In this Pharmaceutical Technology article, Meg Rivers interviews Optibrium’s Chase Smith and Verseon’s Kevin Short to discuss what data to consider when selecting a...
Optibrium Adds Augmented Intelligence for Compound Design to its StarDrop Small Molecule Drug Discovery Software New Inspyra™ module combines chemists’ expertise with exploratory capabilities of automated compound design. Inspyra™ provides drug designers direct...
Optibrium Shows Deep Learning to Successfully Predict Human Panel-based Sensory Perception of Novel Compounds Used for Flavours and Fragrances Optibrium, IFF and Intellegens’ joint peer-reviewed research published in Journal of Computer Aided Molecular Design. Study...
J. Med. Chem, publish; Experimental Validation of Predictive Models in a Series of Novel Antimalarials. With hit identification and lead optimisation being key steps in the development of any new drug, the continued advancements in machine learning and artificial...
Optibrium appoints Professor Andy Black as non-executive Chair Appointment brings extensive pharmaceutical services and Board experience to drive commercial growth and development of new products to improve speed, efficiency, and productivity of drug discovery ...
Recent Comments