{"id":1047,"date":"2020-09-14T14:12:50","date_gmt":"2020-09-14T14:12:50","guid":{"rendered":"https:\/\/website.prod.unilu.spikeseed.cloud\/fr\/news\/using-machine-learning-to-combat-the-coronavirus\/"},"modified":"2020-09-14T14:12:50","modified_gmt":"2020-09-14T14:12:50","slug":"using-machine-learning-to-combat-the-coronavirus","status":"publish","type":"news","link":"https:\/\/www.uni.lu\/fr\/news\/using-machine-learning-to-combat-the-coronavirus\/","title":{"rendered":"Using Machine Learning to combat the Coronavirus"},"content":{"rendered":"<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><p>The intensive binding of the SARS-CoV-2 spike protein on human host cells appears to be a significant factor in the virus\u2019s high infectiousness. A joint team of researchers from the University of Luxembourg and TU Berlin is exploring why this spike protein is able to bind so much more effectively than other coronaviruses. Google.org is funding the research with 125,000 US dollars. Globally, Google.org funds 31 coronavirus research projects.<\/p><p>The project is led by Professor <a href=\"https:\/\/wwwfr.uni.lu\/recherche\/fstm\/dphyms\/people\/alexandre_tkatchenko\" target=\"_self\" title=\"\" rel=\"noopener\">Alexandre Tkatchenko<\/a> from the Department of Physics and Materials Science at the University of Luxembourg and Dr. <a href=\"https:\/\/www.ml.tu-berlin.de\/menue\/members\/gregoire_montavon\/\" target=\"_blank\" title=\"\" rel=\"noopener\">Gr\u00e9goire Montavon<\/a> from TU Berlin\u2019s Chair of Machine Learning of Professor Dr. Klaus-Robert M\u00fcller. Using an approach which combines <strong>quantum mechanics and machine learning<\/strong>, the project seeks to gain a <strong>deeper understanding of the binding behavior of the novel coronavirus<\/strong> (SARS-CoV-2).\u00a0<\/p><p><strong>Exact simulation of the molecular dynamics of the spike protein<\/strong>\u00a0<\/p><p>The researchers are analysing the mechanism which accounts for the unusually high binding affinity displayed by the SARS-CoV-2 spike protein regarding ACE2 human host cell receptors: Discovering this process would represent an important first step towards the future development of treatments for the coronavirus. Using <strong>precise, long-term simulations of the molecular dynamics of the spike protein and the human receptor<\/strong>, the researchers aim to gain a better understanding of how they interact. Simulating molecular dynamics reveals the movement caused by the interaction of single atoms within an atom system over time. <strong>Special machine learning processes are to be developed for the enormously complex calculations involved<\/strong>.<\/p><p>\u201cExamining the adhesion mechanism of SARS-CoV-2 presents us with a host of new challenges: The systems contain hundreds of thousands of atoms and a wide range of possible adhesion scenarios has to be taken into account. These challenges require a truly interdisciplinary approach,\u201d says Alexandre Tkatchenko.\u00a0<\/p><p>\u201cWe are delighted to be receiving this funding and support for our fundamental research,\u201d adds Gr\u00e9goire Montavon. \u201cUpon completion of the project, we will be publishing our findings for the entire scientific community.\u201d<\/p><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>The intensive binding of the SARS-CoV-2 spike protein on human host cells appears to be a significant factor in the virus\u2019s high infectiousness. A joint team of researchers from the University of Luxembourg and TU Berlin is exploring why this spike protein is able to bind so much more effectively than other coronaviruses. Google.org is funding the research with 125,000 US dollars. Globally, Google.org funds 31 coronavirus research projects.<\/p>\n","protected":false},"author":0,"featured_media":0,"template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false},"news-category":[4,3],"news-topic":[21],"organisation":[76,25,226],"authorship":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using Machine Learning to combat the Coronavirus - Universit\u00e9 du Luxembourg<\/title>\n<meta name=\"description\" content=\"The intensive binding of the SARS-CoV-2 spike protein on human host cells appears to be a significant factor in the virus\u2019s high infectiousness. A joint team of researchers from the University of Luxembourg and TU Berlin is exploring why this spike protein is able to bind so much more effectively than other coronaviruses. Google.org is funding the research with 125,000 US dollars. Globally, Google.org funds 31 coronavirus research projects.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.uni.lu\/fr\/news\/using-machine-learning-to-combat-the-coronavirus\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using Machine Learning to combat the Coronavirus\" \/>\n<meta property=\"og:description\" content=\"The intensive binding of the SARS-CoV-2 spike protein on human host cells appears to be a significant factor in the virus\u2019s high infectiousness. A joint team of researchers from the University of Luxembourg and TU Berlin is exploring why this spike protein is able to bind so much more effectively than other coronaviruses. Google.org is funding the research with 125,000 US dollars. 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