{"id":120556,"date":"2024-11-12T19:09:07","date_gmt":"2024-11-12T17:09:07","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/deepmind-otkryl-kod-alphafold-3-ai-sistemy-modelirovaniya-struktury-belkov"},"modified":"2024-11-12T19:09:07","modified_gmt":"2024-11-12T17:09:07","slug":"deepmind-otkryl-kod-alphafold-3-ai-sistemy-modelirovaniya-struktury-belkov","status":"publish","type":"post","link":"https:\/\/prohoster.info\/da\/blog\/news\/deepmind-otkryl-kod-alphafold-3-ai-sistemy-modelirovaniya-struktury-belkov","title":{"rendered":"DeepMind har \u00e5bnet koden til AlphaFold 3, AI-systemet til modellering af proteinstrukturer","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Virksomheden Google DeepMind har offentliggjort kildekoderne til maskinl\u00e6ring systemet AlphaFold 3, som er designet til at forudsige den tredimensionale struktur af proteiner og modellere interaktioner mellem proteiner og andre molekyler. For udviklingen af maskinl\u00e6ringsalgoritmerne implementeret i den anden version af AlphaFold, blev der i \u00e5r tildelt Nobelprisen i kemi. Det v\u00e6rkt\u00f8j, der er relateret til AlphaFold 3, er skrevet i Python og C++, og distribueres under licensen CC BY-NC-SA 4.0. Tr\u00e6nede modeller tilbydes baseret p\u00e5 en brugerlicens. Separat er der lanceret server<\/a>, som tillader at eksperimentere med AlphaFold 3 i online-tilstand. <\/p>\n

En model, der er tr\u00e6net p\u00e5 en samling, der beskriver strukturerne af alle kendte proteiner og aminosyresekvenser, l\u00f8ser problemet med proteinfoldning og g\u00f8r det muligt at forudsige den tredimensionale struktur af nye proteiner med en n\u00f8jagtighed, der i det mindste ikke er ringere end laboratorieanalyse, og ved vurdering af interaktioner mellem proteiner og andre molekyltyper, overg\u00e5r den betydeligt eksisterende forudsigelsesmetoder. Den tredje version af AlphaFold-modellen adskiller sig ved at anvende en ny arkitektur, \"Pairformer\", som udvikler ideen fra \"transformer\"-arkitekturen. <\/p>\n

I mods\u00e6tning til AlphaFold 2 er den nye version ikke begr\u00e6nset til proteiner, der best\u00e5r af en enkel polypeptidk\u00e6de, og kan anvendes til at forudsige protein komplekser med DNA og RNA samt modellere modificerede varianter af disse molekyler. En liste over molekyler sendes til AlphaFold, og som output dannes der en f\u00e6lles 3D-struktur, der bestemmer den mest sandsynlige interaktion mellem de angivne molekyler. <\/p>\n

Fra en praktisk synsvinkel kan AlphaFold 3 anvendes til at udvikle l\u00e6gemidler og behandlingsmetoder samt skabe nye proteiner. For eksempel er der med hj\u00e6lp fra AlphaFold designet et protein, der kan binde sig til bestemte kr\u00e6ftceller, hvilket kan bruges i nye generationers kr\u00e6ftbehandling. AlphaFold anvendes ogs\u00e5 aktivt til at studere interaktionen mellem antistoffer og proteiner for at forst\u00e5 menneskets immunrespons og skabe nye antistoffer.
\n
Kilde: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google DeepMind \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0442\u0435\u043a\u0441\u0442\u044b \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f AlphaFold 3, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0439 \u0434\u043b\u044f \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u043d\u0438\u044f \u0442\u0440\u0451\u0445\u043c\u0435\u0440\u043d\u043e\u0439 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u0431\u0435\u043b\u043a\u043e\u0432 \u0438 \u043c\u043e\u0434\u0435\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0431\u0435\u043b\u043a\u043e\u0432 \u0441 \u0434\u0440\u0443\u0433\u0438\u043c\u0438 \u0442\u0438\u043f\u0430\u043c\u0438 \u043c\u043e\u043b\u0435\u043a\u0443\u043b. \u0417\u0430 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u043e\u0432 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f, \u0440\u0435\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u0432\u043e \u0432\u0442\u043e\u0440\u043e\u0439 \u0432\u0435\u0440\u0441\u0438\u0438 AlphaFold, \u0432 \u044d\u0442\u043e\u043c \u0433\u043e\u0434\u0443 \u043f\u0440\u0438\u0441\u0443\u0436\u0434\u0435\u043d\u0430 \u041d\u043e\u0431\u0435\u043b\u0435\u0432\u0441\u043a\u0430\u044f \u043f\u0440\u0435\u043c\u0438\u044f \u043f\u043e \u0445\u0438\u043c\u0438\u0438. \u0421\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0439 \u0441 AlphaFold 3 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 Python \u0438 C++, \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-120556","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47DeepMind har \u00e5bnet koden til AlphaFold 3, AI-systemet til modellering af proteinstrukturen | ProHoster","description":"Google DeepMind har offentliggjort kildekoden til maskinl\u00e6ringssystemet AlphaFold 3, der er designet til at forudsige den tredimensionelle struktur af proteiner og modellere interaktionen mellem 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