BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210325T150000
DTEND;TZID=America/New_York:20210325T160000
DTSTAMP:20260407T035554
CREATED:20210225T175157Z
LAST-MODIFIED:20210225T175157Z
UID:4384-1616684400-1616688000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Graph representation learning for drug discovery"
DESCRIPTION:The current pandemic highlights an acute need to develop fast therapeutics against health threats. Traditional approaches to drug discovery are expensive and slow to react to pandemics. In this talk\, I will discuss how to accelerate drug discovery with deep learning\, and demonstrate their success in antibiotic discovery and COVID-19 drug combination design. In computational terms\, the major challenge of drug discovery is molecular graph generation and multi-objective optimization. While deep learning has been extensively investigated for graph encoding\, graph generation is a harder combinatorial task and remains under-explored. To address these challenges\, I will present novel deep generative models that leverage the low treewidth prior of molecular graphs and demonstrate their success in molecular optimization.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-graph-representation-learning-for-drug-discovery/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
END:VCALENDAR