{"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\/ro\/blog\/news\/deepmind-otkryl-kod-alphafold-3-ai-sistemy-modelirovaniya-struktury-belkov","title":{"rendered":"DeepMind a deschis codul AlphaFold 3, un sistem AI pentru modelarea structurii proteinelor.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Compania Google DeepMind a publicat codurile surs\u0103 ale sistemului de \u00eenv\u0103\u021bare automat\u0103 AlphaFold 3, destinat prezicerii structurii tridimensionale a proteinelor \u0219i model\u0103rii interac\u021biunii proteinelor cu alte tipuri de molecule. Pentru crearea algoritmilor de \u00eenv\u0103\u021bare automat\u0103, implementa\u021bi \u00een a doua versiune AlphaFold, anul acesta a fost decernat Premiul Nobel pentru Chimie. Instrumentele asociate cu AlphaFold 3 sunt scrise \u00een Python \u0219i C++ \u0219i sunt distribuite sub licen\u021ba CC BY-NC-SA 4.0. Modelele antrenate sunt furnizate pe baza unui acord de utilizare. A fost lansat\u0103 separat serverul<\/a>, care permite experimentarea cu AlphaFold 3 \u00een mod online. <\/p>\n

Modelul, care a fost instruit pe o colec\u021bie cu descrierea structurii tuturor proteinelor cunoscute \u0219i a secven\u021belor de aminoacizi, rezolv\u0103 problema plierii proteinelor \u0219i permite prognozarea structurii tridimensionale a proteinelor noi cu o precizie cel pu\u021bin egal\u0103 cu cea a analizei de laborator, iar la evaluarea interac\u021biunii proteinelor cu alte tipuri de molecule, dep\u0103\u0219e\u0219te semnificativ metodele existente de prognozare. A treia versiune a modelului AlphaFold se distinge prin utilizarea unei noi arhitecturi \u201ePairformer\u201d, care dezvolt\u0103 ideea arhitecturii \u201etransformer\u201d. <\/p>\n

Spre deosebire de AlphaFold 2, noua versiune nu se limiteaz\u0103 la proteine formate dintr-un singur lan\u021b polipeptidic \u0219i poate fi utilizat\u0103 pentru prezicerea complexelor proteice cu ADN \u0219i ARN, precum \u0219i pentru modelarea variantelor modificate ale acestor molecule. Lista moleculelor este introdus\u0103 \u00een AlphaFold, iar la ie\u0219ire se formeaz\u0103 o structur\u0103 3D comun\u0103, care determin\u0103 interac\u021biunea cea mai probabil\u0103 a moleculelor specificate. <\/p>\n

Din punct de vedere practic, AlphaFold 3 poate fi utilizat pentru dezvoltarea de medicamente \u0219i metode de tratament, precum \u0219i pentru crearea de proteine noi. De exemplu, cu ajutorul AlphaFold a fost proiectat\u0103 o protein\u0103 capabil\u0103 s\u0103 se ata\u0219eze de anumite celule canceroase, ceea ce poate fi utilizat \u00een terapia \u00eempotriva cancerului de nou\u0103 genera\u021bie. AlphaFold este, de asemenea, utilizat activ \u00een studierea interac\u021biunii anticurilor cu proteine pentru \u00een\u021belegerea r\u0103spunsului imunitar uman \u0219i crearea de anticorpi noi.
\n
Sursa: opennet.ro<\/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\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 a deschis codul AlphaFold 3, sistemul AI de modelare a structurii proteinelor | ProHoster","description":"Compania Google DeepMind a publicat codurile surs\u0103 ale sistemului de \u00eenv\u0103\u021bare automat\u0103 AlphaFold 3, destinat prezicerii structurii tridimensionale a proteinelor \u0219i model\u0103rii 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