{"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\/sq\/blog\/novosti-interneta\/deepmind-otkryl-kod-alphafold-3-ai-sistemy-modelirovaniya-struktury-belkov","title":{"rendered":"DeepMind publikoi kodin e AlphaFold 3, sistemit AI p\u00ebr modelimin e struktur\u00ebs s\u00eb proteinave","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Kompania Google DeepMind publikoi kodet burimore t\u00eb sistemit t\u00eb m\u00ebsimit t\u00eb makineris\u00eb AlphaFold 3, i destinuar p\u00ebr t\u00eb parashikuar struktur\u00ebn tridimensionale t\u00eb proteinave dhe p\u00ebr modelimin e nd\u00ebrveprimit t\u00eb proteinave me lloje t\u00eb tjera molekulash. P\u00ebr krijimin e algoritmeve t\u00eb m\u00ebsimit t\u00eb makineris\u00eb, t\u00eb realizuara n\u00eb versionin e dyt\u00eb t\u00eb AlphaFold, k\u00ebt\u00eb vit u dha \u00c7mimi Nobel n\u00eb Kimik\u00eb. Veglat e lidhura me AlphaFold 3 jan\u00eb shkruar n\u00eb Python dhe C++, dhe shp\u00ebrndahen n\u00ebn licenc\u00ebn CC BY-NC-SA 4.0. Modelet e trajnuara jepen mbi baz\u00ebn e nj\u00eb marr\u00ebveshjeje p\u00ebrdoruesi. Nd\u00ebrkoh\u00eb, \u00ebsht\u00eb aktivizuar server<\/a>, q\u00eb lejon eksperimentimin me AlphaFold 3 n\u00eb modalitetin online. <\/p>\n

Modeli q\u00eb \u00ebsht\u00eb trajnuar mbi nj\u00eb koleksion p\u00ebrshkrimesh t\u00eb strukturave t\u00eb t\u00eb gjitha proteinave dhe sekuencave t\u00eb aminokacideve zgjidh problemin e palosjes s\u00eb proteinave dhe lejon parashikimin e struktur\u00ebs tre-dimensionale t\u00eb proteinave t\u00eb reja me nj\u00eb sakt\u00ebsi q\u00eb t\u00eb pakt\u00ebn nuk i kalon analizat laboratorike, nd\u00ebrsa n\u00eb vler\u00ebsimin e nd\u00ebrveprimeve t\u00eb proteinave me lloje t\u00eb tjera molekulash, tejkalon ndjesh\u00ebm metodat ekzistuese t\u00eb parashikimit. Versioni i tret\u00eb i modelit AlphaFold ve\u00e7ohet p\u00ebr p\u00ebrdorimin e nj\u00eb arkitekture t\u00eb re \"Pairformer\", q\u00eb zhvillon iden\u00eb e arkitektur\u00ebs \"transformer\". <\/p>\n

Ndryshe nga AlphaFold 2, versioni i ri nuk kufizohet vet\u00ebm n\u00eb proteinat q\u00eb p\u00ebrb\u00ebhen nga nj\u00eb zinxhir polipeptidik, por mund t\u00eb aplikohet p\u00ebr parashikimin e komplekseve proteine me ADN dhe ARN, si dhe p\u00ebr modelimin e varianteve t\u00eb modifikuara t\u00eb k\u00ebtyre molekulave. N\u00eb hyrjen e AlphaFold dor\u00ebzohet nj\u00eb list\u00eb molekulash, dhe n\u00eb daljen formohet nj\u00eb struktur\u00eb 3D e p\u00ebrbashk\u00ebt, e cila p\u00ebrcakton nd\u00ebrveprimin m\u00eb t\u00eb mundsh\u00ebm t\u00eb molekulave t\u00eb cituara. <\/p>\n

Nga nj\u00eb k\u00ebndv\u00ebshtrim praktik, AlphaFold 3 mund t\u00eb p\u00ebrdoret p\u00ebr zhvillimin e ila\u00e7eve dhe metodave t\u00eb trajtimit, si dhe p\u00ebr krijimin e proteinave t\u00eb reja. P\u00ebr shembull, me ndihm\u00ebn e AlphaFold-it \u00ebsht\u00eb projektuar nj\u00eb protein\u00eb q\u00eb \u00ebsht\u00eb n\u00eb gjendje t\u00eb lidhet me qeliza t\u00eb caktuara kanceroze, q\u00eb mund t\u00eb p\u00ebrdoret n\u00eb terapit\u00eb anti-kancerore t\u00eb gjenerat\u00ebs s\u00eb re. AlphaFold gjithashtu p\u00ebrdoret aktivisht p\u00ebr studimin e nd\u00ebrveprimeve t\u00eb antitrupave me proteinat p\u00ebr t\u00eb kuptuar p\u00ebrgjigjen immumologjike t\u00eb njeriut dhe p\u00ebr krijimin e antitrupave t\u00eb rinj.
\n
Burimi: 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-novosti-interneta"],"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 hapi kodin e AlphaFold 3, sistemit AI p\u00ebr modelimin e struktur\u00ebs s\u00eb proteinave | ProHoster","description":"Kompania Google DeepMind publikoi kodin burimor t\u00eb sistemit t\u00eb m\u00ebsimit makinerik AlphaFold 3, i destinuar p\u00ebr parashikimin e struktur\u00ebs tredimensionale t\u00eb proteinave dhe modelimin e nd\u00ebrveprimeve t\u00eb proteinave me lloje t\u00eb tjera molekula. P\u00ebr krijimin e algoritmeve t\u00eb m\u00ebsimit makinerik t\u00eb implementuara n\u00eb versionin e dyt\u00eb t\u00eb AlphaFold-it, k\u00ebt\u00eb vit u dha \u00c7mimi Nobel n\u00eb Kimik\u00eb. Veglat e lidhura me AlphaFold 3 jan\u00eb t\u00eb shkruara n\u00eb Python dhe C++, dhe shp\u00ebrndahen.","canonical_url":"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/deepmind-otkryl-kod-alphafold-3-ai-sistemy-modelirovaniya-struktury-belkov","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"sq_AL","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47DeepMind \u043e\u0442\u043a\u0440\u044b\u043b \u043a\u043e\u0434 AlphaFold 3, AI-\u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u043e\u0434\u0435\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f 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\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 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