{"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\/pt\/blog\/news\/deepmind-otkryl-kod-alphafold-3-ai-sistemy-modelirovaniya-struktury-belkov","title":{"rendered":"DeepMind liberou o c\u00f3digo do AlphaFold 3, um sistema de IA para modelagem de estruturas de prote\u00ednas","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A empresa Google DeepMind publicou os textos fonte do sistema de aprendizado de m\u00e1quina AlphaFold 3, que \u00e9 destinado \u00e0 previs\u00e3o da estrutura tridimensional de prote\u00ednas e \u00e0 modelagem da intera\u00e7\u00e3o entre prote\u00ednas e outros tipos de mol\u00e9culas. Este ano, o Nobel de Qu\u00edmica foi concedido pela cria\u00e7\u00e3o dos algoritmos de aprendizado de m\u00e1quina implementados na segunda vers\u00e3o do AlphaFold. O conjunto de ferramentas associado ao AlphaFold 3 \u00e9 escrito em Python e C++ e distribu\u00eddo sob a licen\u00e7a CC BY-NC-SA 4.0. Os modelos treinados s\u00e3o fornecidos com base em um acordo de usu\u00e1rio. Um servi\u00e7o separado foi lan\u00e7ado servidor<\/a>, permitindo experimentar com o AlphaFold 3 em modo online. <\/p>\n

O modelo, que foi treinado em uma cole\u00e7\u00e3o com descri\u00e7\u00f5es das estruturas de todas as prote\u00ednas conhecidas e sequ\u00eancias de amino\u00e1cidos, resolve o problema do dobramento de prote\u00ednas e permite prever a estrutura tridimensional de novas prote\u00ednas com uma precis\u00e3o, no m\u00ednimo, equivalente \u00e0 an\u00e1lise laboratorial. Al\u00e9m disso, na avalia\u00e7\u00e3o da intera\u00e7\u00e3o das prote\u00ednas com outros tipos de mol\u00e9culas, supera significativamente os m\u00e9todos existentes de previs\u00e3o. A terceira vers\u00e3o do modelo AlphaFold se diferencia pela utiliza\u00e7\u00e3o de uma nova arquitetura chamada \"Pairformer\", que desenvolve a ideia da arquitetura \"transformer\". <\/p>\n

Diferente do AlphaFold 2, a nova vers\u00e3o n\u00e3o se limita a prote\u00ednas compostas por uma \u00fanica cadeia polipept\u00eddica e pode ser aplicada \u00e0 previs\u00e3o de complexos proteicos com DNA e RNA, bem como \u00e0 modelagem de variantes modificadas dessas mol\u00e9culas. Para o AlphaFold, uma lista de mol\u00e9culas \u00e9 inserida como entrada, e uma estrutura 3D conjunta \u00e9 gerada como sa\u00edda, definindo a intera\u00e7\u00e3o mais prov\u00e1vel entre as mol\u00e9culas especificadas. <\/p>\n

Do ponto de vista pr\u00e1tico, o AlphaFold 3 pode ser usado para o desenvolvimento de medicamentos e m\u00e9todos de tratamento, bem como para a cria\u00e7\u00e3o de novas prote\u00ednas. Por exemplo, utilizando o AlphaFold, foi projetada uma prote\u00edna capaz de se ligar a c\u00e9lulas cancerosas espec\u00edficas, o que pode ser empregado em terapias contra o c\u00e2ncer de nova gera\u00e7\u00e3o. O AlphaFold tamb\u00e9m \u00e9 amplamente utilizado no estudo da intera\u00e7\u00e3o de anticorpos com prote\u00ednas para compreender a resposta imunol\u00f3gica humana e criar novos anticorpos.
\n
Fonte: 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 liberou o c\u00f3digo do AlphaFold 3, um sistema de IA para modelagem de estruturas de prote\u00ednas | ProHoster","description":"A empresa Google DeepMind publicou os textos fonte do sistema de aprendizado de m\u00e1quina AlphaFold 3, que \u00e9 destinado \u00e0 previs\u00e3o da estrutura tridimensional de 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