Expanding accessible chemical space through automated high-throughput experimentation
Posted: 6 April 2021 | Dr Sam Liver (The Rosalind Franklin Institute) | No comments yet
Dr Sam Liver, Manager of the High-Throughput Molecular Discovery Laboratory at the Rosalind Franklin Institute, explains how lab automation in the form of machine learning and high‑throughput experimentation (HTE) can be implemented to enhance productivity in autonomous molecular discovery.
Abstract
Automation is harnessed routinely at individual stages within design-make-purify-test cycles, yet adjacent stages are rarely fully automated and integrated within drug discovery systems. Recently, however, progress has been made towards realising fully integrated molecular discovery workflows with matched‑ and high-throughput throughout. The combination of machine learning algorithms and automated HTE may deliver…
Related topics
Artificial Intelligence, Drug Development, Drug Discovery, High-Throughput Screening (HTS), Informatics, Lab Automation, Screening
Related organisations
HighRes Biosolutions, The Rosalind Franklin Institute