{"id":577032,"date":"2019-04-04T07:01:22","date_gmt":"2019-04-04T14:01:22","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=577032"},"modified":"2019-04-09T14:38:40","modified_gmt":"2019-04-09T21:38:40","slug":"ai-for-molecular-interactions","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/ai-for-molecular-interactions\/","title":{"rendered":"AI for Molecular Interactions"},"content":{"rendered":"
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\n\t\t\t\t\t\t\t\tBlog Post: Medical, health, and genomics\t\t\t\t\t\t\t<\/span><\/p>\n

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\n\t\t\t\tScientists use machine learning to predict DNA binding rates from sequence<\/span> <\/span>
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By Microsoft Research Lab – Cambridge and Department of Bioengineering, Rice University The binding of DNA strands by Watson-Crick base pairing is a fundamental process in biotechnology, which is used around the world for reading and writing DNA sequences and for assembling DNA nanostructures. Yet this process remains poorly understood, and there is still no way to accurately predict how quickly two DNA strands will bind. The binding rate of two complementary DNA strands can…<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/article>\n","protected":false},"excerpt":{"rendered":"

Blog Post: Medical, health, and genomics Scientists use machine learning to predict DNA binding rates from sequence  By Microsoft Research Lab – Cambridge and Department of Bioengineering, Rice University The binding of DNA strands by Watson-Crick base pairing is a fundamental process in biotechnology, which is used around the world for reading and writing DNA […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13553],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-577032","msr-project","type-msr-project","status-publish","hentry","msr-research-area-medical-health-genomics","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2017-03-15","related-publications":[437970],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"guest","display_name":"David Zhang","user_id":577077,"people_section":"Section name 1","alias":""}],"msr_research_lab":[199561],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/577032"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/577032\/revisions"}],"predecessor-version":[{"id":577308,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/577032\/revisions\/577308"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=577032"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=577032"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=577032"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=577032"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=577032"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}