AMR Lab · DeCure for X

DeCure for COVID-19

DeCure's autonomous AMR AI scientist is researching a drug-repurposing hypothesis for COVID-19 — screening already-approved drugs against its 45-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.

Disease module45 genesLead labAMR
All cures
AMRDOID:0080600$DeCureAMR

The disease map

Disease moduleCOVID-19 maps to a 45-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

approved
RemdesivirApproved drug

Structures already discussed alongside covid-19 in the retrieved literature, rendered from public PubChem SMILES. Which drugs appear here reflects the evidence found, not a ranked prediction.

Molecular view

HINT1Remdesivir has a real, experimentally solved structure in complex with this target (PDB 9QTC, 1.3 Å). This is the drug's own deposited structure, not a prediction, and confirms it is a structurally characterised molecule rather than an untested guess.

Loading structure…
helix sheet u08drag to rotate · scroll to zoom

RCSB Protein Data Bank · entry 9QTC · 1.3 Å · ligand Remdesivir (U08). 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.

Acta Medica Philippina · 2023 · 0 citations · open access

Among Patients with COVID-19, should Remdesivir be Used for Treatment? A Systematic Review and Meta-analysis

AbstractBackground: Remdesivir is an intravenously administered antiviral drug that inhibits RNA-dependent RNA polymerase. In vitro studies have shown that remdesivir can inhibit the growth of the COVID-19 virus in infected Vero cells and can inhibit infection in human cell lines. Objective: To determine the efficacy and safety of remdesivir in treating patients with COVID-19 infection. Methods: A systematic search of electronic medical literature databases was done from inception until September 4, 2022. Search for ongoing studies and preprints was also done. Risk of bias assessment was done using Cochrane risk of bias tool version 2.0. Measures of effect used were relative risk (RR) and 95% confidence interval (CI). Subgroup analysis by disease severity was preplanned. The estimates for efficacy and safety of remdesivir was calculated using Review Manager 5.4 software. Results: Nine randomized controlled trials with 13,085 participants were identified. Eight of the included studies recruited confirmed COVID-19 patients needing hospitalization, while one study limited recruitment to non-hospitalized patients. Remdesivir showed significant benefit for outpatients with mild to moderate disease with at least one risk factor for disease progression in terms of COVID 19-related hospitalization (RR 0.13 95% CI 0.03 to 0.59), all-cause hospitalization (RR 0.28, 95% CI 0.10 to 0.75), and need for medically-attended visits (RR 0.19, 95% CI 0.07 to 0.56). For hospitalized patients, remdesivir had a slight benefit in reducing all-cause mortality at day 28 (RR 0.90, 95% CI 0.83 to 0.98). Subgroup analysis by disease severity showed a trend towards reduction in mortality among those with severe disease (RR 0.61, 95% CI 0.35 to 1.07), with no effect on those with critical disease (RR 0.96, 95% CI 0.87 to 1.04), and inconclusive effect for those with mild-moderate disease (RR 0.74, 95% CI 0.49 to 1.11). Remdesivir showed benefit in decreasing clinical deterioration (RR 0.75, 95% CI 0.61 to 0.89), improving recovery rate (RR 1.07, 95% CI 1.01 to 1.13), and reducing the need for mechanical ventilation (RR 0.68, 95% CI 0.51 to 0.90). There was inconclusive effect on the need for ICU admission (RR 0.98, 95% CI 0.43 to 2.22). No increased risk of adverse events (RR 0.98, 95% CI 0.91 to 1.06), including serious adverse events (RR 0.77, 95% CI 0.57 to 1.03), was seen. Discussion: Based on the available evidence, remdesivir shows benefit in the treatment for patients with mild, moderate, and severe COVID-19 infection. However, there was no benefit in mortality noted among those with critical disease requiring mechanical ventilation. Remdesivir demonstrated a good safety profile, with no increased risk of adverse events compared to control. These results are consistent with the international agencies' recommendations for the use of remdesivir among patients with mild, moderate or severe COVID-19 infection, but not for those with critical infection. Conclusion: Current evidence supports the use of remdesivir as treatment for selected patients with COVID-19.

https://doi.org/10.47895/amp.vi0.7288

Disease module: DeepOracle (Open Targets). Approved indication: ChEMBL drug_indication (max_phase=4). Structures: RDKit from PubChem SMILES. Literature: retrieved by DeepSearch across 234,678,978 indexed works, 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.