This article was originally published in Start Up
By combining quantum chemistry and computing power, QuantumBio Inc. says it can model large macromolecules far better and more efficiently than currently available mechanics-based software. The company's tools promise better predictability of chemical and physical properties for virtual screening, QSAR, ADME/Tox, lead optimization and docking.
You may also be interested in...
Ask a head of R&D for a pharma or biotech to name the area where the need for new and better tools is greatest, and likely as not the answer will be predictive modeling of a drug's ADME/Tox profile. There's an abundance of sweet spots across the preclinical landscape for companies with better models and predictive tools.
Tapping into the interplay between gut microbiota and an underappreciated subset of T cells could lead to therapies in a range of diseases.
Higher success rates in rare cancers, where biomarkers can better direct therapy, characterize the oncology treatment landscape. Deal-making is favoring alliances over acquisitions as drugmakers focus on establishing the clinical benefit of new targets, particularly for rare indications.