{"id":8631,"date":"2023-12-25T11:55:31","date_gmt":"2023-12-25T11:55:31","guid":{"rendered":"https:\/\/dailyai.com\/?p=8631"},"modified":"2023-12-25T11:55:31","modified_gmt":"2023-12-25T11:55:31","slug":"mit-researchers-identify-new-class-of-antibiotics-using-ai","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2023\/12\/mit-researchers-identify-new-class-of-antibiotics-using-ai\/","title":{"rendered":"MIT-forskare identifierar ny antibiotikaklass med hj\u00e4lp av AI"},"content":{"rendered":"

MIT-forskare anv\u00e4nde djupinl\u00e4rningsmodeller f\u00f6r att uppt\u00e4cka den f\u00f6rsta nya antibiotikaklassen p\u00e5 flera decennier. De resulterande antibiotika kan v\u00e4nda tidvattnet mot l\u00e4kemedelsresistenta bakterier.<\/strong><\/p>\n

N\u00e4r Alexander Fleming uppt\u00e4ckte penicillin, v\u00e4rldens f\u00f6rsta antibiotikum, var han medveten om de faror som var f\u00f6rknippade med det.<\/p>\n

I sitt tacktal f\u00f6r Nobelpriset 1945 sa Fleming: \"Sedan finns det en risk att den okunnige l\u00e4tt kan underdosera sig sj\u00e4lv och genom att uts\u00e4tta sina mikrober f\u00f6r icke-d\u00f6dliga m\u00e4ngder av l\u00e4kemedlet g\u00f6ra dem resistenta.\"<\/p>\n

I takt med att nyare antibiotika utvecklades ledde felaktig anv\u00e4ndning och felaktiga f\u00f6rskrivningar till att de bakterier som de riktades mot gradvis blev resistenta mot dessa tidigare effektiva l\u00e4kemedel.<\/p>\n

Det team som Dr. Jim Collins leder p\u00e5 Collins-laboratoriet<\/a> p\u00e5 MIT startade Antibiotics-AI Project redan 2020 f\u00f6r att ta itu med detta. Projektet har en sju\u00e5rsplan f\u00f6r att utveckla sju nya klasser av antibiotika f\u00f6r att behandla sju av v\u00e4rldens d\u00f6dligaste bakteriella patogener.<\/p>\n

Deras arbete med maskininl\u00e4rning har b\u00f6rjat ge resultat i form av deras papper<\/a> har uppt\u00e4ckt en ny klass av antibiotika som kan d\u00f6da meticillinresistenta Staphylococcus aureus (MRSA)-bakterier. L\u00e4kemedelsresistenta MRSA-infektioner d\u00f6dar upp till 10.000 m\u00e4nniskor varje \u00e5r bara i USA.<\/p>\n

L\u00e4kemedelsbolagen l\u00e4gger inte s\u00e5 mycket av sin forskning p\u00e5 antibiotika eftersom det inte \u00e4r lika lukrativt som andra l\u00e4kemedel. Det har ocks\u00e5 blivit allt sv\u00e5rare att uppt\u00e4cka nya antibiotika. AI har just gjort det mycket enklare.<\/p>\n

Modeller f\u00f6r djupinl\u00e4rning<\/h2>\n

Utmaningen med att skapa ett nytt antibiotikum \u00e4r att det finns n\u00e4stan o\u00e4ndligt m\u00e5nga molekyl\u00e4ra arrangemang och det \u00e4r sv\u00e5rt att veta vilket av dem som kommer att d\u00f6da en specifik bakterie. F\u00f6r att komplicera saker och ting m\u00e5ste forskarna se till att den nya f\u00f6reningen inte heller d\u00f6dar friska celler.<\/p>\n

MIT-teamet skapade en databas med 39.000 olika f\u00f6reningar och deras effekter p\u00e5 Staphylococcus aureus. De tog ocks\u00e5 h\u00e4nsyn till f\u00f6reningarnas cytotoxicitet genom att sp\u00e5ra deras effekter p\u00e5 m\u00e4nskliga lever-, skelettmuskel- och lungceller.<\/p>\n

Information om f\u00f6reningarnas kemiska strukturer lades ocks\u00e5 till i datasetet, som sedan anv\u00e4ndes f\u00f6r att tr\u00e4na en AI-modell med djupinl\u00e4rning.<\/p>\n

Baserat p\u00e5 det stora datasetet kunde modellen l\u00e4ra sig vilka kemiska strukturer som mest sannolikt d\u00f6dade bakterierna och samtidigt undvek negativa effekter p\u00e5 friska celler.<\/p>\n

N\u00e4r AI-modellen hade tr\u00e4nats anv\u00e4ndes den f\u00f6r att screena 12 miljoner kommersiellt tillg\u00e4ngliga substanser. Modellen identifierade molekyler fr\u00e5n fem olika klasser som den f\u00f6rutsp\u00e5dde skulle d\u00f6da MRSA-bakterierna.<\/p>\n

Baserat p\u00e5 den betydligt smalare listan \u00f6ver kandidatf\u00f6reningar fick forskarna 280 f\u00f6reningar att testa mot MRSA-bakterier som odlats i en labbsk\u00e5l. Deras tester ledde till uppt\u00e4ckten att tv\u00e5 av f\u00f6reningarna reducerade MRSA med en faktor 10.<\/p>\n

F\u00f6rklarlig AI<\/h2>\n

AI-modeller ger oss ofta anv\u00e4ndbara svar, men de kan vara outgrundliga svarta l\u00e5dor som inte ger oss n\u00e5gon inblick i hur de kommer fram till svaret.<\/p>\n

Felix Wong, postdoktor vid MIT och Harvard och en av studiens huvudf\u00f6rfattare tillsammans med Erica Zheng, s\u00e4ger: \"Det vi ville g\u00f6ra i den h\u00e4r studien var att \u00f6ppna den svarta l\u00e5dan. Dessa modeller best\u00e5r av ett mycket stort antal ber\u00e4kningar som efterliknar neurala kopplingar, och ingen vet egentligen vad som h\u00e4nder under huven.\"<\/p>\n

Genom att f\u00f6rst\u00e5 vad som fick modellen att v\u00e4lja de f\u00f6reningar den gjorde skulle forskarna f\u00e5 en b\u00e4ttre uppfattning om var de ska leta efter effektivare l\u00e4kemedel. Forskargruppen anv\u00e4nde en anpassad Monte Carlo-tr\u00e4ds\u00f6kningsalgoritm f\u00f6r att f\u00e5 en inblick i sin djupinl\u00e4rningsmodells beslutsprocess.<\/p>\n

Dr Collins f\u00f6rklarade: \"Insikten h\u00e4r var att vi kunde se vad modellerna l\u00e4rde sig f\u00f6r att g\u00f6ra sina f\u00f6ruts\u00e4gelser om att vissa molekyler skulle vara bra antibiotika.\"<\/p>\n

F\u00f6rutom MIT har \u00e4ven Broad Institute, Integrated Biosciences, Wyss Institute for Biologically Inspired Engineering och Leibniz Institute of Polymer Research i Dresden, Tyskland, bidragit till forskningen.<\/p>\n

Att anv\u00e4nda AI f\u00f6r att g\u00e5 igenom miljontals potentiella kemiska arrangemang har en enorm inverkan p\u00e5 l\u00e4kemedelsuppt\u00e4ckt<\/a>. F\u00f6r Collins Lab \u00e4r det ett fall av \"en klar, sex kvar\" och det ser ut som om deras sju\u00e5riga projekt kan ha tid \u00f6ver.<\/p>","protected":false},"excerpt":{"rendered":"

MIT-forskare anv\u00e4nde djupinl\u00e4rningsmodeller f\u00f6r att uppt\u00e4cka den f\u00f6rsta nya antibiotikaklassen p\u00e5 flera decennier. De resulterande antibiotika kan v\u00e4nda tidvattnet mot l\u00e4kemedelsresistenta bakterier. N\u00e4r Alexander Fleming uppt\u00e4ckte penicillin, v\u00e4rldens f\u00f6rsta antibiotikum, var han medveten om de faror som var f\u00f6rknippade med det. I sitt tacktal f\u00f6r Nobelpriset 1945 sa Fleming: \"Sedan finns det en risk att den okunnige l\u00e4tt kan underdosera sig sj\u00e4lv och genom att uts\u00e4tta sina mikrober f\u00f6r icke-d\u00f6dliga m\u00e4ngder av l\u00e4kemedlet g\u00f6ra dem resistenta.\" I takt med att nyare antibiotika utvecklades ledde felaktig anv\u00e4ndning och felaktiga f\u00f6rskrivningar till att de bakterier som de riktades mot gradvis blev resistenta mot dessa tidigare<\/p>","protected":false},"author":6,"featured_media":8632,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[150,203,105],"class_list":["post-8631","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-benefits","tag-biotech","tag-machine-learning"],"yoast_head":"\nMIT researchers identify new class of antibiotics using AI | 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\/sv\/2023\/12\/mit-researchers-identify-new-class-of-antibiotics-using-ai\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MIT researchers identify new class of antibiotics using AI | DailyAI\" \/>\n<meta property=\"og:description\" content=\"MIT researchers used deep learning models to discover the first new class of antibiotics in decades. The resulting antibiotics could turn the tide against drug-resistant bacteria. When Alexander Fleming discovered penicillin, the world\u2019s first antibiotic, he was aware of the associated dangers. In his Nobel Prize acceptance speech in 1945, Fleming said, \u201cThen there is the danger that the ignorant man may easily underdose himself and by exposing his microbes to non-lethal quantities of the drug, make them resistant.\u201d As newer antibiotics were developed, misuse and incorrect prescriptions led to the bacteria they targeted gradually becoming resistant to these previously\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/sv\/2023\/12\/mit-researchers-identify-new-class-of-antibiotics-using-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-12-25T11:55:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/Antimicrobial-susceptibility-resistance-test.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"526\" \/>\n\t<meta property=\"og:image:type\" 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