{"version":1,"type":"story","url":"https://digestai.news/story/deepdelivery-identifies-human-proteins-for-mrna-delivery","json":"https://digestai.news/story/deepdelivery-identifies-human-proteins-for-mrna-delivery.json","markdown":"https://digestai.news/story/deepdelivery-identifies-human-proteins-for-mrna-delivery.md","slug":"deepdelivery-identifies-human-proteins-for-mrna-delivery","headline":"DeepDelivery identifies human proteins for mRNA delivery","summary":"Researchers have developed DeepDelivery, an AI-driven platform designed to identify human proteins that can serve as scaffolds for mRNA delivery. This approach aims to overcome immune response issues associated with non-human components in current gene delivery vectors, which limit their use in chronic treatments.\n\nThe platform screened the proteome and nominated 512 candidate proteins. Experimental validation confirmed that 12 of the 15 selected human proteins functioned effectively as scaffold components, facilitating particle formation and mRNA delivery. The study highlights that several tripartite motif (TRIM) family proteins, typically linked to antiviral responses, showed strong assembly and delivery activity.\n\nUsing model interpretability and perturbation analyses, the team identified specific TRIM domain features that influenced prediction scores. These insights guided the engineering of TRIM25-specific domains to improve delivery efficiency. The work establishes a framework for mining the human proteome for scaffold components in programmable mRNA delivery systems. The research was supported by various Chinese national and regional funding bodies, and the authors have filed patent applications for the discovered scaffold proteins.","keyPoints":["DeepDelivery AI platform identified 512 human protein candidates for mRNA delivery scaffolds.","Experimental validation confirmed 12 of 15 selected proteins functioned as effective delivery scaffolds.","TRIM family proteins showed strong activity, guiding specific domain engineering for improved delivery."],"whyItMatters":"This research offers a potential solution to immune rejection in gene therapy by using human-derived proteins, enabling safer chronic treatments and expanding the design space for mRNA delivery systems.","category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":["Shenzhen Institutes of Advanced Technology","Shenzhen PAM2L Biotechnologies Co., Ltd."],"models":["DeepDelivery"],"people":["George M. Church","Yuting Chen","Guanyang Su","Peilin Zhao","Xun, D.","Li, L."]},"firstPublishedAt":"2026-10-31T00:00:00Z","updatedAt":"2026-10-31T00:00:00Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"Nature Machine Learning","title":"AI-driven discovery and engineering of human-derived protein scaffolds for mRNA delivery","url":"https://nature.com/articles/s41467-026-79039-x","publishedAt":"2026-10-31T00:00:00Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"DeepDelivery identifies human proteins for mRNA delivery\", 31 October 2026, https://digestai.news/story/deepdelivery-identifies-human-proteins-for-mrna-delivery","publisher":"Digest AI","title":"DeepDelivery identifies human proteins for mRNA delivery","datePublished":"2026-10-31T00:00:00Z","url":"https://digestai.news/story/deepdelivery-identifies-human-proteins-for-mrna-delivery"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}