BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Office of Advanced Research Computing - ECPv6.0.10//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Office of Advanced Research Computing
X-ORIGINAL-URL:https://oarc.rutgers.edu
X-WR-CALDESC:Events for Office of Advanced Research Computing
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:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211209T130000
DTEND;TZID=America/New_York:20211209T170000
DTSTAMP:20260417T071418
CREATED:20211026T200606Z
LAST-MODIFIED:20211130T190741Z
UID:5927-1639054800-1639069200@oarc.rutgers.edu
SUMMARY:Enabling protein structure prediction with artificial intelligence at Rutgers and beyond
DESCRIPTION:Learning objectives\nThis Institute for Quantitative Biomedicine Crash Course will present a broad overview of how Artificial Intelligence/Machine Learning (AI/ML) methods are being used for de novo protein structure prediction and provide hands-on experience with both AlphaFold2 and RoseTTAFold. \nCASP14 revealed that AlphaFold2\, developed by Google DeepMind\, Inc.\, can predict three dimensional structures of small globular proteins with accuracies comparable to experimental methods. RoseTTAFold\, developed at the University of Washington/Howard Hughes Medical Institute\, approaches AlphaFold2 in terms of prediction accuracy while requiring fewer computational resources. \nIn this Crash Course\, expert speakers will provide a solid foundation on the role of AI/ML in structural biology and showcase ongoing research efforts at Rutgers. During the hands-on tutorial\, participants will learn how to utilize these new computational tools to compute structure models from amino acid sequences and download precomputed structure models from the AlphaFoldDB database. Local computing resources (Rutgers University Amarel Cluster) and access to Google Colab and the RoseTTAFold server will be made available during the hands-on session. \nCo-organizers: Balamurugan Desinghu\, Ph.D. and Stephen K. Burley\, M.D.\, D.Phil \nView schedule [PDF] \nRegister for event
URL:https://oarc.rutgers.edu/event/enabling-protein-structure-prediction-with-artificial-intelligence-at-rutgers-and-beyond/
END:VEVENT
END:VCALENDAR