{"id":14258,"date":"2024-09-17T20:09:29","date_gmt":"2024-09-17T20:09:29","guid":{"rendered":"https:\/\/dailyai.com\/?p=14258"},"modified":"2024-09-18T08:42:03","modified_gmt":"2024-09-18T08:42:03","slug":"ai-accelerates-the-discovery-of-cryoprotectant-compounds-for-medicine-transport-and-storage","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/09\/ai-accelerates-the-discovery-of-cryoprotectant-compounds-for-medicine-transport-and-storage\/","title":{"rendered":"AI fremskynder oppdagelsen av kryobeskyttende forbindelser for transport og lagring av medisiner"},"content":{"rendered":"

Forskere har utviklet et nytt maskinl\u00e6ringssystem som kan bidra til \u00e5 bevare vaksiner, blod og andre medisinske behandlinger.\u00a0<\/b><\/p>\n

Den <\/span>forskning<\/span><\/a>publisert i Nature Communications, ble ledet av University of Warwick og University of Manchester.<\/span><\/p>\n

AI-systemet hjelper til med \u00e5 identifisere molekyler som kalles kryoprotektanter - forbindelser som forhindrer skade ved nedfrysing av biologisk materiale.\u00a0<\/span><\/p>\n

Kryoprotektanter er spesielle stoffer som bidrar til \u00e5 beskytte levende celler og vev mot skade n\u00e5r de fryses ned.<\/p>\n

De virker ved \u00e5 forhindre dannelsen av skadelige iskrystaller, som i bunn og grunn bryter opp vev n\u00e5r du fryser det, og hjelper ogs\u00e5 cellene med \u00e5 opprettholde strukturen i ekstrem kulde.<\/p>\n

Disse forbindelsene er grunnleggende viktige for \u00e5 konservere ting som vaksiner, blodpr\u00f8ver og reproduktive celler for langtidslagring eller transport.<\/p>\n

Kryopreserver kan en dag brukes til \u00e5 bevare organer, komplekse vev eller til og med hele mennesker.<\/p>\n

I dag er det en langsom prosess med pr\u00f8ving og feiling \u00e5 finne nye kryoprotektiva. Denne nye ML-drevne tiln\u00e6rmingen gj\u00f8r det mulig for forskere \u00e5 raskt screene hundrevis av potensielle molekyler virtuelt.<\/span><\/p>\n

Her er noen av hovedpunktene i studien:<\/span><\/p>\n

    \n
  1. Teamet laget en maskinl\u00e6ringsmodell som ble trent p\u00e5 data fra eksisterende kryoprotektiva.<\/span><\/li>\n
  2. Denne modellen kan forutsi hvor godt nye molekyler kan fungere som kryobeskyttende midler.<\/span><\/li>\n
  3. Forskerne brukte modellen til \u00e5 screene et bibliotek med rundt 500 aminosyrer.<\/span><\/li>\n
  4. Systemet identifiserte flere lovende forbindelser, blant annet en aminooksazolester som var bedre enn mange kjente kryobeskyttende midler.<\/li>\n
  5. Laboratorietester bekreftet AI-ens sp\u00e5dommer, og den nye forbindelsen viste seg \u00e5 v\u00e6re sterkt iskrystallforebyggende.<\/span><\/li>\n
  6. Det oppdagede molekylet forbedret konserveringen av r\u00f8de blodlegemer n\u00e5r det ble kombinert med standardteknikker.<\/span><\/li>\n<\/ol>\n

    Aminooksazolesteren som ble identifisert i studien, viste spesielt bemerkelsesverdige egenskaper n\u00e5r det gjaldt \u00e5 hemme isrekrystallisering (IRI). Den hindret nesten fullstendig iskrystaller i \u00e5 vokse seg st\u00f8rre under fryseprosessen.<\/p>\n

    Forbindelsen var effektiv selv n\u00e5r forskerne senket konsentrasjonen. I tillegg opprettholdt det ogs\u00e5 sine ishemmende egenskaper i fosfatbufret saltvann (PBS), en l\u00f8sning som etterligner saltkonsentrasjonen i menneskekroppen.<\/p>\n

    Dr. Matt Warren, doktorgradsstudenten som har ledet prosjektet, beskriver hvordan modellen \u00f8ker effektiviteten: \"Etter mange \u00e5r med arbeidskrevende datainnsamling i laboratoriet er det utrolig spennende \u00e5 n\u00e5 ha en maskinl\u00e6ringsmodell som muliggj\u00f8r en datadrevet tiln\u00e6rming til \u00e5 forutsi kryoprotektiv aktivitet.\"<\/span><\/p>\n

    Professor Matthew Gibson fra Manchester legger til: \"Resultatene av datamodellen var forbl\u00f8ffende, og den identifiserte aktive molekyler jeg aldri ville ha valgt, selv med min mange\u00e5rige ekspertise.\"<\/span><\/p>\n

    Professor Gabriele Sosso, som ledet Warwick-teamet, <\/span>forklart i et blogginnlegg<\/span><\/a> at selv om maskinl\u00e6ring er imponerende, er det ikke en universall\u00f8sning for denne typen forskningsproblemer: \"Det er viktig \u00e5 forst\u00e5 at maskinl\u00e6ring ikke er en magisk l\u00f8sning p\u00e5 alle vitenskapelige problemer. I dette arbeidet brukte vi det som ett verkt\u00f8y blant mange.\"<\/span><\/p>\n

    Forskerne kombinerte AI-sp\u00e5dommene med molekylsimuleringer og laboratorieeksperimenter - en flerstrenget tiln\u00e6rming som bidro til \u00e5 validere resultatene og forbedre modellen.<\/span><\/p>\n

    Dette bidrar til en rekke AI-drevne studier innen legemiddeloppdagelse og materialdesign. Forskere har bygget AI-modeller for \u00e5 generere interessante medisinske forbindelser<\/a>hvorav en av dem har v\u00e6rt brakt til klinisk utpr\u00f8ving<\/a>.<\/p>\n

    DeepMind skapte ogs\u00e5 en modell med navnet GNoME<\/a> som automatisk kan generere og syntetisere materialer.<\/p>\n

    De nye kryobeskyttende forbindelsene som er oppdaget, kan f\u00e5 stor betydning i den virkelige verden.<\/span><\/p>\n

    Forskerne beskriver for eksempel hvordan bedre kryokonservering kan forlenge holdbarheten til vaksiner og gj\u00f8re det enklere \u00e5 transportere sensitive medisinske behandlinger til avsidesliggende omr\u00e5der.\u00a0<\/span><\/p>\n

    Teknikken kan ogs\u00e5 fremskynde blodtransfusjoner ved \u00e5 redusere tiden det tar \u00e5 behandle frossent blod.<\/span><\/p>\n

    Selv om resultatene er lovende, advarer teamet om at det trengs mer arbeid for \u00e5 forst\u00e5 hvordan disse nye forbindelsene fungerer, og for \u00e5 sikre medisinsk sikkerhet og stabilitet.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Forskere har utviklet et nytt maskinl\u00e6ringssystem som kan bidra til \u00e5 bevare vaksiner, blod og andre medisinske behandlinger. Forskningen, som er publisert i Nature Communications, ble ledet av University of Warwick og University of Manchester. AI-systemet hjelper til med \u00e5 identifisere molekyler som kalles kryobeskyttende stoffer - forbindelser som forhindrer skade n\u00e5r biologisk materiale fryses ned. Kryoprotektanter er spesielle stoffer som bidrar til \u00e5 beskytte levende celler og vev mot skader n\u00e5r de fryses ned. De virker ved \u00e5 forhindre dannelsen av skadelige iskrystaller, som i bunn og grunn bryter ned vev n\u00e5r du fryser det, og de hjelper ogs\u00e5 cellene med \u00e5 opprettholde strukturen sin i ekstrem kulde. Disse forbindelsene<\/p>","protected":false},"author":2,"featured_media":14259,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[203,178],"class_list":["post-14258","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-biotech","tag-medicine"],"yoast_head":"\nAI accelerates the discovery of cryoprotectant compounds for medicine transport and storage | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nb\/2024\/09\/ai-accelerates-the-discovery-of-cryoprotectant-compounds-for-medicine-transport-and-storage\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI accelerates the discovery of cryoprotectant compounds for medicine transport and storage | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Scientists have developed a new machine learning system that could help preserve vaccines, blood, and other medical treatments.\u00a0 The research, published in Nature Communications, was led by the University of Warwick and the University of Manchester. 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