{"id":8436,"date":"2023-12-19T16:35:20","date_gmt":"2023-12-19T16:35:20","guid":{"rendered":"https:\/\/dailyai.com\/?p=8436"},"modified":"2023-12-19T16:35:20","modified_gmt":"2023-12-19T16:35:20","slug":"ai-designed-proteins-display-exceptional-binding-strengths","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2023\/12\/ai-designed-proteins-display-exceptional-binding-strengths\/","title":{"rendered":"Les prot\u00e9ines con\u00e7ues par l'IA pr\u00e9sentent des forces de liaison exceptionnelles"},"content":{"rendered":"<p><strong>Des scientifiques de la facult\u00e9 de m\u00e9decine de l'universit\u00e9 de Washington ont utilis\u00e9 l'intelligence artificielle pour concevoir de nouvelles mol\u00e9cules de prot\u00e9ines, ce qui ouvre des perspectives int\u00e9ressantes pour la d\u00e9tection et le traitement des maladies.<\/strong><\/p>\n<p>L'efficacit\u00e9 d'un m\u00e9dicament dans le traitement d'une maladie d\u00e9pend en grande partie de sa sp\u00e9cificit\u00e9 \u00e0 se fixer sur la cible pathog\u00e8ne et de la force de cette fixation.<\/p>\n<p>La quantit\u00e9 quasi infinie de formes potentielles de prot\u00e9ines rend extr\u00eamement difficile la conception d'une prot\u00e9ine ayant \u00e0 la fois une forte affinit\u00e9 (force de liaison) et une forte sp\u00e9cificit\u00e9.<\/p>\n<p>Trouver des prot\u00e9ines qui se lient fortement \u00e0 des cibles peptidiques h\u00e9lico\u00efdales telles que le glucagon, le neuropeptide Y et l'hormone parathyro\u00efdienne \u00e9tait la t\u00e2che difficile \u00e0 laquelle les chercheurs esp\u00e9raient que l'IA pourrait les aider. Leur article, <a href=\"https:\/\/www.nature.com\/articles\/s41586-023-06953-1\" target=\"_blank\" rel=\"noopener\">publi\u00e9 dans Nature<\/a>L'IA a le potentiel de r\u00e9volutionner le monde de l'\u00e9ducation et de la formation. <a href=\"https:\/\/dailyai.com\/fr\/2023\/12\/astrazeneca-bets-247m-on-ai-company-developing-cancer-drug\/\">d\u00e9veloppement de m\u00e9dicaments<\/a>.<\/p>\n<p>Les chercheurs ont d'abord utilis\u00e9 des m\u00e9thodes d'apprentissage profond avec AlphaFold2 et RosettaFold. Ces programmes d'IA avanc\u00e9s ont \u00e9t\u00e9 d'une grande aide pour la conception de nouvelles prot\u00e9ines, mais ils utilisent beaucoup de puissance de calcul.<\/p>\n<p>Afin de trouver une m\u00e9thode de conception de prot\u00e9ines plus efficace sur le plan informatique, les chercheurs se sont tourn\u00e9s vers une approche similaire \u00e0 celle qui alimente les mod\u00e8les de g\u00e9n\u00e9rateurs d'images d'IA tels que Stable Diffusion et DALL-E.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Le papier aujourd'hui <a href=\"https:\/\/twitter.com\/Nature?ref_src=twsrc%5Etfw\">@Nature<\/a> d\u00e9crit <a href=\"https:\/\/twitter.com\/UWproteindesign?ref_src=twsrc%5Etfw\">@UWproteindesign<\/a> Prot\u00e9ine g\u00e9n\u00e9r\u00e9e par l'IA avec une affinit\u00e9 et une sp\u00e9cificit\u00e9 de liaison exceptionnellement \u00e9lev\u00e9es. Cette biotechnologie a des implications pour le d\u00e9veloppement de m\u00e9dicaments, la d\u00e9tection de maladies et la surveillance de l'environnement. <a href=\"https:\/\/t.co\/KhtGhiyf6I\">https:\/\/t.co\/KhtGhiyf6I<\/a><\/p>\n<p>- Salle de presse de UW Medicine (@uwmnewsroom) <a href=\"https:\/\/twitter.com\/uwmnewsroom\/status\/1736785659137016153?ref_src=twsrc%5Etfw\">18 d\u00e9cembre 2023<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<h2>RFdiffusion<\/h2>\n<p>RFdiffusion est un mod\u00e8le d'IA g\u00e9n\u00e9ratif r\u00e9volutionnaire qui est entra\u00een\u00e9 sur des donn\u00e9es provenant de structures prot\u00e9iques connues. Le mod\u00e8le affine et r\u00e9organise ensuite de mani\u00e8re it\u00e9rative les atomes dans des structures prot\u00e9iques d\u00e9finies.<\/p>\n<p>RFdiffusion a \u00e9t\u00e9 entra\u00een\u00e9 \u00e0 \u00e9liminer it\u00e9rativement le bruit des nuages d'atomes d\u00e9connect\u00e9s, puis \u00e0 les r\u00e9organiser en de nouvelles structures prot\u00e9iques. Ce mod\u00e8le a \u00e9t\u00e9 utilis\u00e9 conjointement avec l'outil logiciel ProteinMPNN con\u00e7u par le laboratoire Baker, qui fait partie de l'\u00e9quipe de recherche de l'Institut de recherche sur les maladies infectieuses de l'Union europ\u00e9enne. <a href=\"https:\/\/www.ipd.uw.edu\/\" target=\"_blank\" rel=\"noopener\">Institut de conception des prot\u00e9ines<\/a> \u00e0 l'Universit\u00e9 de Washington.<\/p>\n<p>ProteinMPNN prend en entr\u00e9e une structure prot\u00e9ique et utilise des techniques d'apprentissage profond pour identifier rapidement de nouvelles s\u00e9quences d'acides amin\u00e9s susceptibles de se replier dans des structures prot\u00e9iques sp\u00e9cifiques.<\/p>\n<h2>Des r\u00e9sultats enthousiasmants<\/h2>\n<p>Les prot\u00e9ines con\u00e7ues par les chercheurs pr\u00e9sentaient une affinit\u00e9 et une sp\u00e9cificit\u00e9 exceptionnellement \u00e9lev\u00e9es pour les peptides qu'elles ciblaient. Cela signifie qu'elles pourraient potentiellement \u00eatre utilis\u00e9es pour cr\u00e9er des m\u00e9dicaments qui ciblent la cause d'une maladie plut\u00f4t que de se lier \u00e0 des cibles non voulues et de provoquer des effets secondaires.<\/p>\n<p>La synth\u00e8se des prot\u00e9ines n'est pas une nouveaut\u00e9, mais cette nouvelle approche a permis de produire des prot\u00e9ines qui ont atteint la force d'interaction la plus \u00e9lev\u00e9e jamais observ\u00e9e entre une biomol\u00e9cule con\u00e7ue par ordinateur et sa cible.<\/p>\n<p>David Baker, professeur de biochimie \u00e0 l'UW Medicine et chercheur au Howard Hughes Medical Institute, est l'auteur principal de l'article de recherche.<\/p>\n<p>M. Baker a expliqu\u00e9 l'importance de ces r\u00e9sultats en d\u00e9clarant : \"La capacit\u00e9 de g\u00e9n\u00e9rer de nouvelles prot\u00e9ines ayant une affinit\u00e9 et une sp\u00e9cificit\u00e9 de liaison aussi \u00e9lev\u00e9es ouvre un monde de possibilit\u00e9s, allant du traitement de nouvelles maladies \u00e0 des diagnostics avanc\u00e9s\".<\/p>\n<p>De nombreuses maladies sont actuellement trait\u00e9es \u00e0 l'aide d'anticorps. Cependant, les anticorps sont co\u00fbteux \u00e0 produire et n'ont pas une grande dur\u00e9e de vie.<\/p>\n<p>Preetham Venkatesh, l'un des principaux chercheurs, a d\u00e9clar\u00e9 : \"De nombreuses maladies sont difficiles \u00e0 traiter aujourd'hui simplement parce qu'il est tr\u00e8s difficile de d\u00e9tecter certaines mol\u00e9cules dans l'organisme. En tant qu'outils de diagnostic, les prot\u00e9ines con\u00e7ues peuvent offrir une alternative plus rentable que les anticorps\".<\/p>\n<p>Les chercheurs ont pu valider leurs m\u00e9thodes de biodesign en effectuant des tests en laboratoire en collaboration avec le Joseph Rogers Lab de l'Universit\u00e9 de Copenhague et le Andrew Hoofnagle Lab de l'UW Medicine.<\/p>\n<p>Cette recherche est un excellent exemple de la mani\u00e8re dont l'IA acc\u00e9l\u00e8re le d\u00e9veloppement de nouveaux traitements pour les maladies. L'article doit encore faire l'objet d'une \u00e9valuation par les pairs, mais les premiers r\u00e9sultats sont tr\u00e8s prometteurs.<\/p>","protected":false},"excerpt":{"rendered":"<p>Des scientifiques de la facult\u00e9 de m\u00e9decine de l'universit\u00e9 de Washington ont utilis\u00e9 l'intelligence artificielle pour concevoir de nouvelles mol\u00e9cules prot\u00e9iques d'une mani\u00e8re qui ouvre des perspectives passionnantes pour la d\u00e9tection et le traitement des maladies. L'efficacit\u00e9 d'un m\u00e9dicament dans le traitement d'une maladie d\u00e9pend en grande partie de la sp\u00e9cificit\u00e9 et de la force avec lesquelles il s'attache \u00e0 la cible pathog\u00e8ne. La quantit\u00e9 quasi infinie de formes potentielles de prot\u00e9ines rend extr\u00eamement difficile la conception d'une prot\u00e9ine ayant \u00e0 la fois une grande affinit\u00e9 (force de liaison) et une grande sp\u00e9cificit\u00e9. Trouver des prot\u00e9ines qui se lient fortement \u00e0 des cibles peptidiques h\u00e9lico\u00efdales comme le glucagon, le neuropeptide Y et la parathormone est une t\u00e2che extr\u00eamement difficile.<\/p>","protected":false},"author":6,"featured_media":8468,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[150,203,101],"class_list":["post-8436","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-benefits","tag-biotech","tag-medtech"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI-designed proteins display exceptional binding strengths | 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\/fr\/2023\/12\/ai-designed-proteins-display-exceptional-binding-strengths\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI-designed proteins display exceptional binding strengths | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Scientists at the University of Washington School of Medicine used AI to design new protein molecules in a way that opens up exciting possibilities for the detection and treatment of diseases. The effectiveness of a drug in treating a disease depends largely on how specific it is in attaching to the disease-causing target, and how strongly it attaches to the target. The near-infinite amount of potential protein shapes makes designing a protein with both high affinity (binding strength) and high specificity an extremely difficult task. 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