Unnatural Products (UNP) has developed a machine learning platform to iteratively optimize macrocycle design and predict their passive permeability into cells. The Company’s focus is on the ‘hit-to-lead’ portion of drug development. Essentially, UNP takes an existing hit compound, applies in silico design tools to it alongside Machine Learning-powered permeability models. UNP’s unique platform closely marries prediction with experiment. This rapid, intelligent learning loop has allowed UNP to solve key challenges, such as cell permeability, that have previously been the roadblock in macrocycle development.