•AI-driven design and construct finalization.
•Public release of immunogenicity datasets.
•DAO governance vote to advance.
•mRNA synthesis and LNP formulation.
•Expression and immunogenicity assays.
•Open data dashboards and replication bounties.
•Dose optimization, aged-mouse studies, biodistribution, and autoimmunity screens.
•Multi-lab replication consortia and GLP-ready datasets.
•GMP scale-up, regulatory consultation, and Phase I trial design.
•DAO and patient advocate governance on trial design.
•Early engagement with FDA, EMA, and TGA to align preclinical and CMC requirements.
•GLP toxicology in two species, with datasets openly published for community review.
•IND dossier assembled via modular, transparent documentation.
•Ethical oversight built on ARRIVE/IACUC standards, patient-advocate DAOs, and dynamic e-consent.
•Tier A ($823k): Discovery and exploratory preclinical work.
•Tier B ($3.35M): IND-enabling studies and GMP manufacturing.
•Tier C ($4.9–6.7M): IND submission and Phase I clinical trial.
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