June 2019 newsletter
Therapeutic protein degradation by design; Presentations from recent meetings; Review of Efficient Drug Discovery Through Connected Chemistry symposium; New website
Tim Cheeseright explains how Forge can be used to rapidly convert patent data into actionable insights of SAR with minimal human intervention and time.
New Machine Learning methods in Forge significantly expand the range of available QSAR model building options, giving you more opportunities to build a predictive model useful in project work. Our latest web clip demonstrates how to generate a QSAR regression model. View this and other video clips.
Novartis Institutes for Biomedical Research recently published the paper ‘Application of Virtual Screening to the Identification of New LpxC Inhibitor Chemotypes, Oxazolidinone and Isoxazoline’. Suneel Kumar highlights how, in this paper, a traditional scaffold hopping experiment using Spark led to the identification of novel oxazolidinone and isoxazoline LpxC inhibitors active on Gram negative bacteria.
Caroline Low looks at some of the ways that in silico technology can be used to translate your ideas into chemical tools. Optimizing the drug-like properties of these early hit compounds will put you on the road to defining a lead series and onwards to nominating a drug candidate for clinical studies.