{"id":1377,"date":"2018-12-10T14:29:06","date_gmt":"2018-12-10T14:29:06","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2018\/12\/10\/using-machine-learning-to-design-peptides-new-algorithm-incorporates-experimental-data-to-find-best-sequences-for-peptides-science-daily\/"},"modified":"2018-12-10T14:29:06","modified_gmt":"2018-12-10T14:29:06","slug":"using-machine-learning-to-design-peptides-new-algorithm-incorporates-experimental-data-to-find-best-sequences-for-peptides-science-daily","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2018\/12\/10\/using-machine-learning-to-design-peptides-new-algorithm-incorporates-experimental-data-to-find-best-sequences-for-peptides-science-daily\/","title":{"rendered":"Using machine learning to design peptides: New algorithm incorporates experimental data to find best sequences for peptides &#8211; Science Daily"},"content":{"rendered":"<p>Author: <\/p>\n<div><a href=\"https:\/\/www.sciencedaily.com\/releases\/2018\/12\/181210092034.htm\" target=\"_blank\">Using machine learning to design peptides: New algorithm incorporates experimental data to find best sequences for peptides<\/a>\u00a0\u00a0<font color=\"#6f6f6f\">Science Daily<\/font><\/p>\n<p>Scientists have developed a way of finding optimal peptide sequences: using a machine-learning algorithm as a collaborator. The algorithm analyzes &#8230;<\/p>\n<\/div>\n<p><a href=\"https:\/\/www.sciencedaily.com\/releases\/2018\/12\/181210092034.htm\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Using machine learning to design peptides: New algorithm incorporates experimental data to find best sequences for peptides\u00a0\u00a0Science Daily Scientists have developed a way of [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2018\/12\/10\/using-machine-learning-to-design-peptides-new-algorithm-incorporates-experimental-data-to-find-best-sequences-for-peptides-science-daily\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":473,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[24],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1377"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=1377"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1377\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/457"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=1377"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=1377"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=1377"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}