{"id":14090,"date":"2024-02-01T09:23:41","date_gmt":"2024-02-01T12:23:41","guid":{"rendered":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=14090"},"modified":"2024-02-01T09:24:21","modified_gmt":"2024-02-01T12:24:21","slug":"siete-tecnologias-a-tener-en-cuenta-en-2024-segun-nature","status":"publish","type":"post","link":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=14090","title":{"rendered":"Siete tecnolog\u00edas a tener en cuenta en 2024 seg\u00fan Nature"},"content":{"rendered":"<p>Las tecnolog\u00edas que Nature observar\u00e1 este a\u00f1o incluyen el dise\u00f1o de prote\u00ednas utilizando algoritmos similares a los generadores de im\u00e1genes subyacentes como DALL-E, herramientas de detecci\u00f3n de deepfake y sistemas de edici\u00f3n de genes que pueden modificar secuencias de ADN mucho m\u00e1s grandes que las posibles ediciones en un solo sitio. con CRISPR\u2013Cas normal. Un avance que no pas\u00f3 la prueba: ChatGPT. Sus aplicaciones son \u201cganancias que ahorran mano de obra en lugar de transformaciones del proceso de investigaci\u00f3n\u201d, dice el art\u00edculo.<\/p>\n<hr \/>\n<p>From protein engineering and 3D printing to detection of deepfake media, here are seven areas of technology that\u00a0<i>Nature<\/i>\u00a0will be watching in the year ahead.<\/p>\n<p><strong>Deep learning for protein design<\/strong><\/p>\n<p>Two decades ago, David Baker at the University of Washington in Seattle and his colleagues achieved a landmark feat: they used computational tools to design an entirely new protein from scratch. \u2018Top7\u2019 folded as predicted, but it was inert: it performed no meaningful biological functions. Today,\u00a0<i>de novo<\/i>\u00a0protein design has matured into a practical tool for generating made-to-order enzymes and other proteins. \u201cIt\u2019s hugely empowering,\u201d says Neil King, a biochemist at the University of Washington who collaborates with Baker\u2019s team to design protein-based vaccines and vehicles for drug delivery. \u201cThings that were impossible a year and a half ago \u2014 now you just do it.\u201d<\/p>\n<p>Much of that progress comes down to increasingly massive data sets that link protein sequence to structure. But sophisticated methods of deep learning, a form of artificial intelligence (AI), have also been essential.<\/p>\n<p><a href=\"https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2024\/02\/d41586-024-00173-x.pdf\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" class=\"aligncenter wp-image-5168\" src=\"https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2020\/02\/icono-PDF-1.png\" alt=\"Descargar archivo pdf\" width=\"75\" height=\"93\" srcset=\"https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2020\/02\/icono-PDF-1.png 310w, https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2020\/02\/icono-PDF-1-243x300.png 243w\" sizes=\"(max-width: 75px) 100vw, 75px\" \/><\/a><strong>Fuente:<\/strong> <a href=\"https:\/\/www.nature.com\/articles\/d41586-024-00173-x\" target=\"_blank\" rel=\"noopener\"><em>https:\/\/www.nature.com<\/em><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Las tecnolog\u00edas que Nature observar\u00e1 este a\u00f1o incluyen el dise\u00f1o de prote\u00ednas utilizando algoritmos similares a los generadores de im\u00e1genes subyacentes como DALL-E, herramientas de&hellip; <\/p>\n","protected":false},"author":1,"featured_media":14091,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[35,37,24],"tags":[],"_links":{"self":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/14090"}],"collection":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14090"}],"version-history":[{"count":2,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/14090\/revisions"}],"predecessor-version":[{"id":14094,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/14090\/revisions\/14094"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/media\/14091"}],"wp:attachment":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14090"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=14090"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=14090"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}