{"id":4727,"date":"2020-09-15T11:27:27","date_gmt":"2020-09-15T15:27:27","guid":{"rendered":"https:\/\/carleton.ca\/cuids\/?post_type=cu-events&#038;p=4727"},"modified":"2020-09-15T11:29:05","modified_gmt":"2020-09-15T15:29:05","slug":"seminar-data-science-for-drug-discovery-presented-by-dr-frank-dehne","status":"publish","type":"cu-events","link":"https:\/\/carleton.ca\/cuids\/cu-events\/seminar-data-science-for-drug-discovery-presented-by-dr-frank-dehne\/","title":{"rendered":"Seminar: Data Science for Drug Discovery presented by Dr. Frank Dehne"},"content":{"rendered":"<p><img decoding=\"async\" loading=\"lazy\" class=\"size-medium wp-image-4616 aligncenter\" src=\"https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/Institute-for-Data-Science-color-small-240x72.png\" alt=\"\" width=\"240\" height=\"72\" srcset=\"https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/Institute-for-Data-Science-color-small-240x72.png 240w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/Institute-for-Data-Science-color-small-160x48.png 160w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/Institute-for-Data-Science-color-small-400x119.png 400w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/Institute-for-Data-Science-color-small-360x107.png 360w, https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/Institute-for-Data-Science-color-small.png 587w\" sizes=\"(max-width: 240px) 100vw, 240px\" \/><\/p>\n<p style=\"text-align: center;\"><em>Data Science Distinguished Speaker Seminar Series\u00a0\u00a0<\/em><\/p>\n<p><\/p>\n<p><strong>Abstract<\/strong><\/p>\n<p>Engineered proteins are synthetic novel proteins (not found in nature) that are designed to fulfill a predetermined biological function. Such proteins can be used as molecular markers, inhibitory agents, or drugs. We present a massively parallel computational tool for designing inhibitory proteins that are predicted to interact with a given target protein (and may inhibit the target\u2019s cellular functions) while leaving non-target proteins unaffected (to minimize side-effects). In collaboration with the Ottawa Research Hospital, we have been designing protein based drugs for muscular dystrophy treatments and are currently developing a protein based drug to stop the interaction between the COVID spike protein and the human ACE2 protein.<\/p>\n<p><strong>About the Speaker<\/strong><\/p>\n<p><a href=\"https:\/\/carleton.ca\/scs\/people\/frank-dehne\/\">Dr. Frank Dehne<\/a> received a MCS (Dipl. Inform.) from RWTH Aachen University, Germany and a PhD from the University of Wuerzburg, Germany. He is currently Chancellor&#8217;s Professor of Computer Science at Carleton University in Ottawa, and also Founding Director of Carleton&#8217;s new Institute for Data Science. Dr. Dehne&#8217;s research program is focused on improving the performance of big data analytics systems, in particular for business intelligence and computational biochemistry, through efficient parallel computing methods for multi-core processors, GPUs, processor clusters and clouds. He is serving or has served on the Editorial Boards of IEEE Transaction on Computers, Information Processing Letters, Journal of Bioinformatics Research and Applications, and Int. Journal of Data Warehousing and Mining. He is a member and former vice-chair of the IEEE Technical Committee on Parallel Processing, and member of the ACM Symposium on Parallel Algorithms &amp; Architectures Steering Committee. Since 2010, Dr. Dehne is a Fellow of the IBM Centre For Advanced Studies Canada (Business Intelligence and Business Analytics section).<\/p>\n<p><\/p>\n<p style=\"text-align: center;\">Seminar will be hosted via Zoom<\/p>\n","protected":false},"template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_links_to":"","_links_to_target":""},"daevent-type":[16],"event-audience":[],"event-featured":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Seminar: Data Science for Drug Discovery presented by Dr. Frank Dehne - Events - Institute for Data Science<\/title>\n<meta name=\"description\" content=\"Data Science Distinguished Speaker Seminar Series\u00a0\u00a0 &nbsp; Abstract Engineered proteins are synthetic novel proteins (not found in nature) that are\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/carleton.ca\/cuids\/cu-events\/seminar-data-science-for-drug-discovery-presented-by-dr-frank-dehne\/\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/carleton.ca\/cuids\/cu-events\/seminar-data-science-for-drug-discovery-presented-by-dr-frank-dehne\/\",\"url\":\"https:\/\/carleton.ca\/cuids\/cu-events\/seminar-data-science-for-drug-discovery-presented-by-dr-frank-dehne\/\",\"name\":\"Seminar: Data Science for Drug Discovery presented by Dr. Frank Dehne - Events - Institute for Data Science\",\"isPartOf\":{\"@id\":\"https:\/\/carleton.ca\/cuids\/#website\"},\"datePublished\":\"2020-09-15T15:27:27+00:00\",\"dateModified\":\"2020-09-15T15:29:05+00:00\",\"description\":\"Data Science Distinguished Speaker Seminar Series\u00a0\u00a0 &nbsp; 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