DeCure's autonomous Rare AI scientist is researching a drug-repurposing hypothesis for Pelvic Inflammatory Disease — screening already-approved drugs against its 5-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.
Disease modulePelvic Inflammatory Disease maps to a 5-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 pelvic inflammatory disease 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
SRY-box transcription factor 11 (SOX11) — SOX11 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 6T78 · 2.504 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.
AbstractIn Brief In November 2011, the National Institutes of Health convened a workshop of basic researchers, epidemiologists, and clinical experts in pelvic inflammatory disease to identify research gaps hindering advances in diagnosis, treatment, and prevention. This article summarizes the presentations, discussions, and conclusions of this group and highlights significant controversies that reveal aspects of pelvic inflammatory disease research that would most greatly benefit from the application of newer molecular, immunologic, and radiologic techniques. Multiple limitations to performing new clinical trials exist; however, emerging data from ongoing clinical trials will add to the current body of knowledge regarding prevention and treatment strategies. In addition, use of established health care databases could serve as a valuable tool for performance of unbiased epidemiologic outcome studies. This study aimed to identify research gaps among proceedings of a 2011 National Institutes of Health–sponsored workshop on pelvic inflammatory disease where past and recent data were reviewed and goals were defined for future research.
Journal of Antimicrobial Chemotherapy · 1994 · 2 citations
New directions in the diagnosis and treatment of pelvic inflammatory disease
AbstractJournal Article New directions in the diagnosis and treatment of pelvic inflammatory disease Get access M. ABBOTT M. ABBOTT Department of Genitourinary Medicine, Hope HospitalEccles Old Road, Salford M6 8HD, UK Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of Antimicrobial Chemotherapy, Volume 33, Issue 2, February 1994, Pages 352–353, https://doi.org/10.1093/jac/33.2.352 Published: 01 February 1994
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.
