{"id":2170,"date":"2025-07-04T09:58:14","date_gmt":"2025-07-04T09:58:14","guid":{"rendered":"https:\/\/interactivehpc.dk\/?p=2170"},"modified":"2025-07-04T10:04:08","modified_gmt":"2025-07-04T10:04:08","slug":"new-app-alphafold-3-a-game-changing-tool-for-predicting-protein-structure","status":"publish","type":"post","link":"https:\/\/interactivehpc.dk\/?p=2170","title":{"rendered":"New App: AlphaFold 3 &#8211; a game-changing tool for predicting protein structure"},"content":{"rendered":"\n<p class=\"gp-gutenbergpro-92cae\"><\/p>\n\n\n\n<p class=\"gp-gutenbergpro-c4317\">AlphaFold 3, the new AI model developed by Google DeepMind and Isomorphic Labs, can predict the structures of complexes formed by different biomolecules, including protein-DNA, protein-RNA, and protein-ligand interactions.&nbsp;<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-b18ec\">AlphaFold 3 deployment on Interactive HPC &#8211; UCloud is optimized for use with GPUs, and includes the necessary multiple genetic (sequence) protein and RNA databases\u00a0to run.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-7e3d0\">Beside the Batch Mode, additional app flavors (Lab Mode and Visualization Mode) allow respectively to use the software in a JupyterLab environment and to visualize protein structures obtained by running AlphaFold 3.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-6a848\">AlphaFold 3 has been implemented on Interactive HPC &#8211; UCloud to support specific type of work, e.g., accurate structure prediction and modelling, and is ready for use by all Interactive HPC &#8211; UCloud users.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-b35b6\">For more details, visit the <a href=\"https:\/\/docs.cloud.sdu.dk\/Apps\/alphafold3.html\" target=\"_blank\" rel=\"noreferrer noopener\">UCloud documentation<\/a> for the app.<\/p>\n\n\n\n<p class=\"gp-gutenbergpro-f9313\"><\/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, the new AI model developed by Google DeepMind and Isomorphic Labs, can predict the structures of complexes formed by different biomolecules, including protein-DNA, protein-RNA, and protein-ligand interactions.&nbsp; AlphaFold 3 deployment on Interactive HPC &#8211; UCloud is optimized for use with GPUs, and includes the necessary multiple genetic (sequence) protein and RNA databases\u00a0to run. [&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":"{\"f931320e-ae2b-42c0-be76-a13e42e2c1bc\":\" .gp-gutenbergpro-f9313 { background-position-x: 50%;\\nbackground-position-y: 50%;\\nbackground-size: cover;\\nheight: px; }\",\"b18ec745-4fb5-4bec-a64c-0a32ec2211bb\":\" .gp-gutenbergpro-b18ec { background-position-x: 50%;\\nbackground-position-y: 50%;\\nbackground-size: cover;\\nheight: px; }\",\"6a848ab3-3015-4c44-859a-8db7a9fa1169\":\" .gp-gutenbergpro-6a848 { 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":[314,40],"tags":[],"class_list":["post-2170","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-application___en","category-interactive-hpc"],"lang":"en","translations":{"en":2170,"da":2175},"pll_sync_post":[],"_links":{"self":[{"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts\/2170","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=2170"}],"version-history":[{"count":3,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts\/2170\/revisions"}],"predecessor-version":[{"id":2178,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=\/wp\/v2\/posts\/2170\/revisions\/2178"}],"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=2170"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2170"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/interactivehpc.dk\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2170"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}