Objective
RNA therapeutics hold enormous potential, yet progress is hindered by slow, costly, and empirical formulation workflows that translate poorly from in vitro to in vivo and complicate freedom-to-operate (FTO) decisions. Current strategies rely on trial-and-error, one-factor-at-a-time approaches that deliver incremental gains and rarely unlock extrahepatic delivery. ALINA will establish the technical and commercial proof-of-concept for an integrated machine learning (ML) and molecular dynamics (MD) platform that accelerates the design and optimization of mRNA-loaded lipid nanoparticle (LNP) formulations. The platform combines curated multi-modal datasets, physics-informed MD descriptors, active-learning experiment selection, and higher-translational biological models to identify globally optimal, FTO-conscious LNP compositions with significantly fewer experiments. The project will deliver (i) an industry-compatible MVP of the ALINA platform, (ii) quantitative benchmarks demonstrating faster convergence and improved predictive accuracy versus current methods, and (iii) an IP strategy covering newly identified lipid components and a commercialization plan combining platform-access services and licensing. By improving development speed, predictive power, resource efficiency, and route-to-impact beyond the liver, ALINA addresses a major bottleneck in RNA therapeutics development and supports the broader adoption of data-driven formulation across biotech and pharma that could benefit at least 2-4 million patients annually.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences biochemistry biomolecules nucleic acids
- engineering and technology nanotechnology nano-materials
- natural sciences computer and information sciences artificial intelligence machine learning
- social sciences educational sciences pedagogy active learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2026-POC
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
80539 Planegg
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.