{"id":2175,"date":"2025-07-04T10:01:26","date_gmt":"2025-07-04T10:01:26","guid":{"rendered":"https:\/\/interactivehpc.dk\/?p=2175"},"modified":"2025-07-04T10:03:39","modified_gmt":"2025-07-04T10:03:39","slug":"ny-app-alphafold-3-et-banebrydende-vaerktoej-til-forudsigelse-af-proteinstruktur","status":"publish","type":"post","link":"https:\/\/interactivehpc.dk\/?p=2175&lang=da","title":{"rendered":"Ny app: AlphaFold 3 \u2013 et banebrydende v\u00e6rkt\u00f8j til forudsigelse af proteinstruktur"},"content":{"rendered":"\n<p class=\"gp-gutenbergpro-89b9f\"><\/p>\n\n\n\n<p class=\"gp-gutenbergpro-7994f\">AlphaFold 3, den nye AI-model udviklet af Google DeepMind og Isomorphic Labs, kan forudsige strukturerne af komplekser dannet af forskellige biomolekyler, herunder protein-DNA-, protein-RNA- og protein-ligand-interaktioner.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-8e985\">AlphaFold 3-implementeringen p\u00e5 Interactive HPC &#8211; UCloud er optimeret til brug med GPU\u2019er og inkluderer de n\u00f8dvendige genetiske (sekvens-) databaser for proteiner og RNA til at k\u00f8re analysen.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-add6e\">Ud over Batch Mode findes der yderligere versioner af app\u2019en \u2013 Lab Mode og Visualization Mode \u2013 som henholdsvis g\u00f8r det muligt at bruge softwaren i et JupyterLab-milj\u00f8 og at visualisere proteinstrukturer opn\u00e5et med AlphaFold 3.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-0baf4\">AlphaFold 3 er implementeret p\u00e5 Interactive HPC &#8211; UCloud for at underst\u00f8tte specifikke typer arbejde, f.eks. pr\u00e6cis strukturforudsigelse og modellering, og er klar til brug for alle brugere af Interactive HPC &#8211; UCloud.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-b75f3\">Du kan finde flere oplysninger i <a href=\"https:\/\/docs.cloud.sdu.dk\/Apps\/alphafold3.html\" target=\"_blank\" rel=\"noreferrer noopener\">UCloud dokumentationen<\/a>.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-65aae\"><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"782\" height=\"648\" src=\"https:\/\/interactivehpc.dk\/wp-content\/uploads\/2025\/07\/Picture1.png\" alt=\"\" class=\"wp-image-2171\" srcset=\"https:\/\/interactivehpc.dk\/wp-content\/uploads\/2025\/07\/Picture1.png 782w, https:\/\/interactivehpc.dk\/wp-content\/uploads\/2025\/07\/Picture1-300x249.png 300w, https:\/\/interactivehpc.dk\/wp-content\/uploads\/2025\/07\/Picture1-768x636.png 768w\" sizes=\"auto, (max-width: 782px) 100vw, 782px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>AlphaFold 3, den nye AI-model udviklet af Google DeepMind og Isomorphic Labs, kan forudsige strukturerne af komplekser dannet af forskellige biomolekyler, herunder protein-DNA-, protein-RNA- og protein-ligand-interaktioner. AlphaFold 3-implementeringen p\u00e5 Interactive HPC &#8211; UCloud er optimeret til brug med GPU\u2019er og inkluderer de n\u00f8dvendige genetiske (sekvens-) databaser for proteiner og RNA til at k\u00f8re analysen. Ud [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2172,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"gtp_columnspro_styling":"{}","gtp_paragraph_styling":"{\"65aae6f4-dfe4-4bf7-9959-a2a35d78c3fa\":\" .gp-gutenbergpro-65aae { background-position-x: 50%;\\nbackground-position-y: 50%;\\nbackground-size: cover;\\nheight: px; }\",\"b75f3a2a-3d91-49fa-a6bd-f0d146c4259c\":\" .gp-gutenbergpro-b75f3 { background-position-x: 50%;\\nbackground-position-y: 50%;\\nbackground-size: cover;\\nheight: px; }\",\"8e9857d4-097a-428f-bce7-bdecda5a158a\":\" .gp-gutenbergpro-8e985 { background-position-x: 50%;\\nbackground-position-y: 50%;\\nbackground-size: cover;\\nheight: px; }\",\"0baf46a4-66dc-4587-a088-f2e16c9e2139\":\" .gp-gutenbergpro-0baf4 { background-position-x: 50%;\\nbackground-position-y: 50%;\\nbackground-size: cover;\\nheight: px; }\"}","gtp_heading_styling":"{}","gtp_spacer_styling":"{}","gtp_video_styling":"{}","gtp_group_styling":"{}","gtp_cover_styling":"{}","footnotes":""},"categories":[322,105],"tags":[],"class_list":["post-2175","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-applikation___da","category-interactive-hpc___da"],"lang":"da","translations":{"da":2175,"en":2170},"pll_sync_post":[],"_links":{"self":[{"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts\/2175","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2175"}],"version-history":[{"count":2,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts\/2175\/revisions"}],"predecessor-version":[{"id":2177,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts\/2175\/revisions\/2177"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/media\/2172"}],"wp:attachment":[{"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2175"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2175"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}