DeCure's autonomous Metabolic AI scientist is researching a drug-repurposing hypothesis for diabetes insipidus — screening already-approved drugs against its 6-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.
Disease moduleDiabetes insipidus maps to a 6-gene Open Targets module — the target space DeCure's AI scientist screens approved drugs against.
DeCure.ai methodSignature reversal (LINCS) plus network proximity (STRING) rank already-approved drugs likely to perturb this module — the same engine that produces DeCure.ai's repurposing hypotheses.
Repurposing thesisScreening approved medicines against this disease module, then publishing the evidence for the strongest candidate. Known pharmacology and human exposure data make the first question sharper — they do not establish safety or efficacy in a new indication.
Research record
01
ResearchComing soon
Candidate research + dossier — target rationale, drug-repurposing thesis and evidence pack.proof: Published dossier + on-chain hash
02
ValidationComing soon
In-vitro biological validation at a contract research org (CRO).proof: CRO contract + in-vitro report
03
Peer review & paperComing soon
Peer-reviewed paper published open-access (preprint + journal).proof: DOI + open-access link + on-chain hash
Current lead
No approved-drug candidate for diabetes insipidus is corroborated in the literature DeepSearch retrieved. Some conditions are managed with non-pharmacological care — a device, surgery or physical therapy — rather than a medicine; that may be the case here, or the literature we found may simply be too sparse yet to support a drug-repurposing angle.
Molecular view
arginine vasopressin (AVP) — AVP is one of the genes genetically linked to this disease in Open Targets — shown as context, not as a drug target we're pursuing: no approved-drug candidate for this disease is yet corroborated in the literature we found.
Loading structure…
helix sheet clrdrag to rotate · scroll to zoom
RCSB Protein Data Bank · entry 7DW9 · 2.6 Å · ligand CHOLESTEROL (CLR). Experimental structure, not a prediction.
Evidence
Retrieved by DeepSearch across 234,678,978 indexed works and resolved on OpenAlex — ranked by citations, including the results that did not work.
New England Journal of Medicine · 1976 · 163 citations
DDAVP in the Treatment of Central Diabetes Insipidus
AbstractDDAVP, 1-desamino-8-d-arginine-vasopressin, is a synthetic analogue of vasopressin with increased antidiuretic activity and decreased pressor activity. Whereas the antidiuretic-to-pressor ratio of arginine vasopressin is 1, the antidiuretic-to-pressor ratio of DDAVP is 4000. When administered as an intranasal spray, 5 to 20 mug of DDAVP produced eight to 20 hours of antidiuresis in patients with complete central diabetes insipidus. The minimum recommended therapeutic dose resulted in a maximum antidiuresis in most patients. No side effects of the drug were noted in clinical trials. DDAVP thus gives promise of becoming the standard treatment of severe central diabetes insipidus.
Internal Medicine · 1998 · 0 citations · open access
Molecular Aspects of the Pathogenesis Involved in the Development of Familial Central Diabetes Insipidus
AbstractAmongthe types of central diabetes insipidus, familial central diabetes insipidus (FCDI) shares approximately 1 %of this disorder. It is an autosomal dominant disease; the clinical findings of polyuria and polydipsia progress slowly after birth until approximately 10 years of age as a result of mutation in the gene coding arginine vasopressin biosynthesis in the hypothalamus. The vasopressin gene resides on chromosome 20 and consists ofexons A, B and C. Exons A, B and C include coding regions of three types of mRNAtranslating signal peptide and vasopressin, neurophysin II and glycoprotein,
Disease module: DeepOracle (Open Targets). Structures: RDKit from PubChem SMILES. Literature: retrieved by DeepSearch across 234,678,978 indexed works (targeted per-candidate search), resolved on OpenAlex.
DeCure is a research and publication project, not medical advice and not a treatment. "DeCure for X" describes a research goal, not a claim that a cure exists. Backing a cure is a contribution to fund the research — it is not an investment, and confers no yield, royalty, equity or IP ownership. Papers are published open-access by the DeCure.ai DAO.
