BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20240329T155424Z DESCRIPTION:Click for Latest Location Information: http://graphorum2019.dat aversity.net/sessionPop.cfm?confid=132&proposalid=11300\n
To enable chemi sts to more efficiently discover and select chemical structures from comple x big data, this leading pharmaceutical company had to look beyond traditio nal database and search tools, so they turned to graph technology.
\nIn this session attendees will learn about business drivers, technical challen ges, and how graph databases, visualization, and analysis solved their prob lem. This will include a discussion of end user requirements, legacy techno logy gaps, new technology stack, features of the chemical graph search appl ication, and a demonstration. DTSTART:20191014T120000 SUMMARY:Graphs Transform Chemical Discovery in Pharmaceutical Research DTEND:20191014T125959 LOCATION: See Description END:VEVENT END:VCALENDAR