Molcure

Over 1 billion proprietary biopharmaceutical data, obtained from our lab. Our proprietary method and AI technology enable us to identify hidden valuable antibodies/peptides by predicting fundamental properties of biopharmaceuticals, e.g. affinity, specificity, phage growth bias in E. coli, immunogenicity, etc. We perform directed evolution experiments such as phage display and mRNA/cDNA display, in our wet lab and collect big data via NGS. Machine learning model is utilized to predict features of biopharmaceuticals, e.g. deep neural networks, transformers, generative models, etc. Original machines for laboratory automation allow us to generate data quickly for developing machine learning models.