{"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\/hu\/blog\/news\/deepmind-otkryl-kod-alphafold-3-ai-sistemy-modelirovaniya-struktury-belkov","title":{"rendered":"A DeepMind k\u00f6zz\u00e9tette az AlphaFold 3 k\u00f3dj\u00e1t, amely egy feh\u00e9rjeszerkezeti modellez\u0151 mesters\u00e9ges intelligencia rendszer.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A Google DeepMind k\u00f6zz\u00e9tette az AlphaFold 3 g\u00e9pi tanul\u00e1si rendszer forr\u00e1sk\u00f3djait, amely a feh\u00e9rj\u00e9k h\u00e1romdimenzi\u00f3s strukt\u00far\u00e1j\u00e1nak el\u0151rejelz\u00e9s\u00e9re \u00e9s m\u00e1s molekulat\u00edpusokkal val\u00f3 k\u00f6lcs\u00f6nhat\u00e1sok modellez\u00e9s\u00e9re szolg\u00e1l. Az AlphaFold m\u00e1sodik verzi\u00f3j\u00e1ban megval\u00f3s\u00edtott g\u00e9pi tanul\u00e1si algoritmusok l\u00e9trehoz\u00e1s\u00e1\u00e9rt id\u00e9n k\u00e9miai Nobel-d\u00edjat kaptak. Az AlphaFold 3-hoz kapcsol\u00f3d\u00f3 eszk\u00f6zk\u00e9szlet Python \u00e9s C++ nyelven k\u00e9sz\u00fclt, \u00e9s a CC BY-NC-SA 4.0 licensz alatt terjesztik. Az edzett modellek felhaszn\u00e1l\u00f3i meg\u00e1llapod\u00e1s alapj\u00e1n \u00e1llnak rendelkez\u00e9sre. k\u00fcl\u00f6n, elind\u00edtott\u00e1k szerver<\/a>, amely lehet\u0151v\u00e9 teszi az AlphaFold 3 online k\u00eds\u00e9rletez\u00e9s\u00e9t. <\/p>\n

A modell, amely a m\u00e1r ismert feh\u00e9rj\u00e9k \u00e9s aminosav-sorozatok strukt\u00far\u00e1j\u00e1nak le\u00edr\u00e1s\u00e1val k\u00e9sz\u00fclt, megoldja a feh\u00e9rj\u00e9k hajl\u00edt\u00e1s\u00e1nak probl\u00e9m\u00e1j\u00e1t, \u00e9s lehet\u0151v\u00e9 teszi az \u00faj feh\u00e9rj\u00e9k h\u00e1romdimenzi\u00f3s strukt\u00far\u00e1j\u00e1nak el\u0151rejelz\u00e9s\u00e9t olyan pontoss\u00e1ggal, amely legal\u00e1bb nem marad el a laborat\u00f3riumi elemz\u00e9st\u0151l, m\u00edg a feh\u00e9rj\u00e9k m\u00e1s t\u00edpus\u00fa molekul\u00e1kkal val\u00f3 k\u00f6lcs\u00f6nhat\u00e1s\u00e1nak \u00e9rt\u00e9kel\u00e9s\u00e9n\u00e9l jelent\u0151sen meghaladja a megl\u00e9v\u0151 el\u0151rejelz\u00e9si m\u00f3dszereket. Az AlphaFold harmadik verzi\u00f3ja a \u201ePairformer\u201d \u00faj architekt\u00far\u00e1j\u00e1nak alkalmaz\u00e1s\u00e1val k\u00fcl\u00f6nb\u00f6zik, amely tov\u00e1bb fejleszti a \u201etransformer\u201d architekt\u00fara \u00f6tlet\u00e9t. <\/p>\n

Az AlphaFold 2-vel ellent\u00e9tben az \u00faj verzi\u00f3 nem korl\u00e1toz\u00f3dik az egy polipeptid l\u00e1ncb\u00f3l \u00e1ll\u00f3 feh\u00e9rj\u00e9kre, \u00e9s alkalmazhat\u00f3 feh\u00e9rje komplexek el\u0151rejelz\u00e9s\u00e9re DNS \u00e9s RNS molekul\u00e1kkal is, valamint ezek m\u00f3dos\u00edtott v\u00e1ltozatainak modellez\u00e9s\u00e9re. Az AlphaFold bemenetek\u00e9nt egy molekul\u00e1k list\u00e1j\u00e1t adunk meg, a kimenet pedig egy k\u00f6z\u00f6s 3D-szerkezetet alkot, amely meghat\u00e1rozza a megadott molekul\u00e1k legval\u00f3sz\u00edn\u0171bb k\u00f6lcs\u00f6nhat\u00e1s\u00e1t. <\/p>\n

Gyakorlati szempontb\u00f3l az AlphaFold 3 alkalmazhat\u00f3 gy\u00f3gyszerek \u00e9s kezel\u00e9si m\u00f3dszerek fejleszt\u00e9s\u00e9re, valamint \u00faj feh\u00e9rj\u00e9k l\u00e9trehoz\u00e1s\u00e1ra. P\u00e9ld\u00e1ul az AlphaFold seg\u00edts\u00e9g\u00e9vel megterveztek egy feh\u00e9rj\u00e9t, amely k\u00e9pes k\u00f6t\u0151dni bizonyos r\u00e1kos sejtekhez, ami \u00faj gener\u00e1ci\u00f3s r\u00e1kellenes ter\u00e1pi\u00e1khoz haszn\u00e1lhat\u00f3. Az AlphaFold-ot az antitestek \u00e9s feh\u00e9rj\u00e9k k\u00f6z\u00f6tti k\u00f6lcs\u00f6nhat\u00e1sok tanulm\u00e1nyoz\u00e1s\u00e1ban is akt\u00edvan alkalmazz\u00e1k, hogy meg\u00e9rts\u00e9k az emberi immunv\u00e1laszt \u00e9s \u00faj antitesteket hozzanak l\u00e9tre.
\n
Forr\u00e1s: 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\udd47A DeepMind bemutatta az AlphaFold 3 k\u00f3dj\u00e1t, a feh\u00e9rjemolekul\u00e1k szerkezet\u00e9nek modellez\u00e9s\u00e9re szolg\u00e1l\u00f3 AI rendszert | ProHoster","description":"A Google DeepMind k\u00f6zz\u00e9tette az AlphaFold 3 g\u00e9pi tanul\u00e1si rendszer forr\u00e1sk\u00f3djait, amely a feh\u00e9rj\u00e9k 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