BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:How Machine Learning can assist Medicinal Chemistry in Drug Discov
 ery  - Marwin Segler\, Microsoft
DTSTART:20220328T133000Z
DTEND:20220328T140000Z
UID:TALK167315@talks.cam.ac.uk
CONTACT:Dr Christoph Schran
DESCRIPTION:After a biological target has been identified\, a key step in 
 drug discovery is the design of molecules that modulate this target\, and 
 optimise their properties such that they can become clinical candidates wh
 ich can be eventually given to patients.\n\nIn this talk\, we will highlig
 ht how machine learning can help to predict molecular properties\, such as
  biological activity\, to automatically design molecules with desired prop
 erties\, and to predict chemical synthesis\, which is a prerequisite for b
 iological testing.
LOCATION:Venue to be confirmed
END:VEVENT
END:VCALENDAR