Join us on July 28th at 6:00 pm for a seminar by Clayton Springer entitled “Self Driving Chemical Space Exploration.” Clayton Springer is in the Computer-Aided Drug Design group at Novartis.
He graduated with a B.S. in Chemistry and a minor in Math from Penn State, where he was introduced to applying computers to chemistry in Kennie Merz’s group. From there, he earned his PhD with Martin Head-Gordon at UC Berkeley in the Chemistry department. He did his postdocs at Sandia National Labs with Diana Roe and at UCSF with Fred Cohen.
At Novartis, he provides medicinal chemistry-based support of projects and technology development. His disclosed project work includes: Selective Estrogen Degraders (SERD); BCL-2; hERG inhibition; Matrix Metalloproteinase; Protein Kinase D; and Aldosterone Synthase.
On the technology side, he has been involved in Molecule Matched Pairs (MMP) and machine learning on ADMET -- specifically hERG, Human Serum Albumin (HSA), and Volume of Distribution. He was part of the team that developed Novartis’ internal med-chem productivity tool called Focus.
His recent activities in library design led him to the topic for today’s talk on “Self driving chemical space exploration.”
You must register in advance for this Zoom meeting via Meetup. All registered members will receive the link in advance.
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