DeCure's autonomous Immuno AI scientist is researching a drug-repurposing hypothesis for immunodeficiency, common variable, 1 — screening already-approved drugs against its 4-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.
Disease moduleImmunodeficiency, common variable, 1 maps to a 4-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 immunodeficiency, common variable, 1 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
inducible T cell costimulator (ICOS) — ICOS 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 apo structuredrag to rotate · scroll to zoom
RCSB Protein Data Bank · entry 7JOO · 2.4 Å · ligand none (apo structure). 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.
British Journal of Haematology · 2009 · 392 citations · open access
Update in understanding common variable immunodeficiency disorders (CVIDs) and the management of patients with these conditions
AbstractThe common variable immunodeficiency disorders are a mixed group of heterogeneous conditions linked by lack of immunoglobulin production and primary antibody failure. This variability results in difficulty in making coherent sense of either immunopathogenesis or the role of various genetic abnormalities reported in the literature. The recent attempt to collate the varied complications in these conditions and to define particular clinical phenotypes has improved our understanding of these diseases. Once refined and confirmed by other studies, these definitions will facilitate improved accuracy of prognosis and better management of clinical complication. They may also provide a method of analysing outcomes as related to new immunopathological and genetic findings.
Current Opinion in Infectious Diseases · 1992 · 15 citations
Drug interactions and toxicities in patients with AIDS
AbstractThe potential for drug interactions leading to adverse reactions is great in patients with the acquired immunodeficiency syndrome, since multiple drugs are commonly prescribed to these patients. In addition, patients with acquired immunodeficiency syndrome have a higher incidence of adverse reactions to drugs that are commonly used in the treatment of opportunistic infections than non-acquired immunodeficiency syndrome patients. As a result of the high rate of adverse reactions, drugs that are currently available are often limited in their use. An appreciation of the potential drug interactions and knowledge of the most frequently occurring adverse reactions can increase the chance of a successful therapeutic response.
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.
