{"id":10461,"date":"2020-12-02T12:43:03","date_gmt":"2020-12-02T17:43:03","guid":{"rendered":"https:\/\/carleton.ca\/biology\/?p=10461"},"modified":"2020-12-02T12:44:22","modified_gmt":"2020-12-02T17:44:22","slug":"carleton-scientists-use-ai-and-big-data-to-identify-a-potential-covid-19-peptide-treatment","status":"publish","type":"post","link":"https:\/\/carleton.ca\/biology\/2020\/carleton-scientists-use-ai-and-big-data-to-identify-a-potential-covid-19-peptide-treatment\/","title":{"rendered":"Carleton Scientists Use AI and Big Data to Identify a Potential COVID-19 Peptide Treatment"},"content":{"rendered":"<p>Using artificial intelligence and Canada\u2019s most powerful supercomputer,\u00a0<a href=\"https:\/\/carleton.ca\/biology\/people\/ashkan-golshani\/\"><strong>Ashkan Golshani<\/strong><\/a>\u00a0and\u00a0<a href=\"https:\/\/carleton.ca\/scs\/people\/frank-dehne\/\">Frank Dehne<\/a>\u00a0analyzed millions of possible protein interactions. They have been developing algorithms that predict protein communications and potential drug treatments since 2003 and, using the IBM Blue Gene\/Q supercomputer, they were able to predict that there would be a new type of protein that could stop the SARS-CoV-2 virus from infecting human cells. The researchers designed this new protein, and synthesized it. In a lab setting, it has been successful at preventing coronavirus infection with an efficacy of 75 per cent.<\/p>\n<p><a href=\"https:\/\/newsroom.carleton.ca\/story\/ai-covid-peptide-treatment\/\">Read More<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Using artificial intelligence and Canada\u2019s most powerful supercomputer,\u00a0Ashkan Golshani\u00a0and\u00a0Frank Dehne\u00a0analyzed millions of possible protein interactions. They have been developing algorithms that predict protein communications and potential drug treatments since 2003 and, using the IBM Blue Gene\/Q supercomputer, they were able to predict that there would be a new type of protein that could stop the [&hellip;]<\/p>\n","protected":false},"author":40,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","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,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[1],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Carleton Scientists Use AI and Big Data to Identify a Potential COVID-19 Peptide Treatment - Department of Biology<\/title>\n<meta name=\"description\" content=\"Using artificial intelligence and Canada\u2019s most powerful supercomputer,\u00a0Ashkan Golshani\u00a0and\u00a0Frank Dehne\u00a0analyzed millions of possible protein\" \/>\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\/biology\/2020\/carleton-scientists-use-ai-and-big-data-to-identify-a-potential-covid-19-peptide-treatment\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"leahtannahill\" \/>\n<script type=\"application\/ld+json\" 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