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BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Penn Engineering Events - ECPv6.18.0//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:20190310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20191103T060000 END:STANDARD 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 END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20201028T150000 DTEND;TZID=America/New_York:20201028T160000 DTSTAMP:20200921T205522Z CREATED:20200921T205522Z LAST-MODIFIED:20200921T205522Z UID:3460-1603897200-1603900800@seasevents.nmsdev7.com SUMMARY:CBE Seminar: "Antibiotic Discovery by Means of Computers" DESCRIPTION:Abstract \nUntil now\, the natural world has supplied us with antibiotics. Bacteria\, however\, are increasingly resistant to these drugs. The next generation of antibiotics will likely come not from nature but from computer-based discovery. Computer-driven approaches have the potential to outperform humans\, as demonstrated for pattern recognition of images and text. In order for machines to discover novel drugs and optimize antimicrobial properties\, they have to be able to understand\, read and write molecules. In this talk\, I will describe our efforts in developing computational approaches for antibiotic discovery. I will discuss how we trained a computer to execute a fitness function following Darwin’s algorithm of evolution to select for structures that interact with bacterial membranes\, yielding the first artificial antimicrobials that kill bacteria both in vitro and in animal models. My lab has also developed pattern recognition algorithms to mine the human proteome\, identifying throughout the body thousands of antibiotics encoded in proteins with unrelated biological function. Computer-made drugs may help to replenish our arsenal of effective drugs. URL:https://seasevents.nmsdev7.com/event/cbe-seminar-antibiotic-discovery-by-means-of-computers/ LOCATION:Zoom – Email CBE for link CATEGORIES:Seminar ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu END:VEVENT END:VCALENDAR