DeCure's autonomous Rare AI scientist is researching a drug-repurposing hypothesis for thrombotic disease — screening already-approved drugs against its 40-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.
Disease moduleThrombotic disease maps to a 40-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 thrombotic 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
coagulation factor XII (F12) — F12 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 2sdrag to rotate · scroll to zoom
RCSB Protein Data Bank · entry 6X0T · 1.388 Å · ligand (2S)-1-(N,3-dicyclohexyl-D-alanyl)-4-[(4R,5S)-4-methyl-5-phenyl-4,5-dihydro-1,3-oxazol-2-yl]-N-[(thiophen-2-yl)methyl]piperazine-2-carboxamide (UJ7). 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.
Journal of Materials Chemistry B · 2019 · 22 citations
Cyclic RGD functionalized liposomes targeted to activated platelets for thrombosis dual-mode magnetic resonance imaging
AbstractThrombotic disease is a serious threat to human health. The rapid and accurate detection of thrombosis is still a clinical challenge. To achieve the accurate diagnosis of thrombosis with magnetic resonance imaging (MRI), nanomaterials-based contrast agents have been developed in recent years. In this study, cyclic RGD functionalized liposomes targeted to the activated platelets are developed for thrombosis dual-mode MRI. The cyclic RGD functionalized liposomes (cRGD@MLP-Gd) encapsulated with gadolinium diethylenetriamine penta-acetic acid (Gd-DTPA) and superparamagnetic iron oxide (SPIO) are prepared, and their thrombus-targeted T1 and T2 MRI potential is evaluated in vitro and in vivo. Results show that cRGD@MLP-Gd could actively bind to the activated platelets and gradually accumulate at the thrombus site with a T1 - T2 contrast enhancement imaging effect in vitro. In in vivo MRI experiments, cRGD@MLP-Gd exhibits a T2 contrast enhancement at 1 h after intravenous administration, followed by a visibly larger T1 contrast enhancement at the thrombus site. This dynamic property showed that cRGD@MLP-Gd could actively bind to thrombus and possessed an enhanced T1 and T2 dual-mode MRI effect in vivo. Our results establish the characterization, feasibility and superiority of cRGD@MLP-Gd for the rapid identification of thrombosis, showing great potential to improve diagnostic accuracy and sensitivity to thrombosis of the MRI technique.
Update to Soria et al.'s “F7 Gene and Clotting Factor VII Levels” (2005): Genetic Determinants of Quantitative Traits in Thrombotic Disease
AbstractThe last 10 years have produced revolutionary advances in the field of human genetics, allowing a transition from the classical analysis of monogenic disorders to a new emphasis on the genetic basis of common disorders, such as thromboembolic disease. Thromboembolic disease is one of the most important causes of morbidity and mortality in industrialized nations and of great public health importance because of its high social and economic cost. Thus identification and characterization of specific loci and genes and the associated phenotypes involved in thrombotic risk will contribute to a greater understanding of the pathogenesis of this disease and will ultimately lead to the development of better diagnostic, prevention, and treatment strategies.
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.
