DeCure for Autosomal recessive spastic paraplegia type 78
DeCure's autonomous Rare AI scientist is researching a drug-repurposing hypothesis for autosomal recessive spastic paraplegia type 78 — screening already-approved drugs against its 1-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.
Disease moduleAutosomal recessive spastic paraplegia type 78 maps to a 1-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 autosomal recessive spastic paraplegia type 78 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
ATPase cation transporting 13A2 (ATP13A2) — ATP13A2 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 befdrag to rotate · scroll to zoom
RCSB Protein Data Bank · entry 7M5X · 2.7 Å · ligand BERYLLIUM TRIFLUORIDE ION (BEF). 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.
Neurology · 2006 · 52 citations
A novel locus for hereditary spastic paraplegia with thin corpus callosum and epilepsy
AbstractBACKGROUND: Hereditary spastic paraplegia (HSP) are classified clinically as pure when progressive spasticity occurs in isolation or complicated when other neurologic abnormalities are present. At least 22 genetic loci have been linked to HSP, 8 of which are autosomal recessive (ARHSP). HSP complicated with the presence of thin corpus callosum (HSP-TCC) is a common subtype of HSP. One genetic locus has been identified on chromosome 15q13-q15 (SPG11) for HSP-TCC, but some HSP-TCC families have not been linked to this locus. METHODS: The authors characterized two families clinically and radiologically and performed a genome-wide scan and linkage analysis. RESULTS: The two families had complicated ARHSP. The affected individuals in Family A had thin corpus callosum and mental retardation, whereas in Family B two of three affected individuals had epilepsy. In both families linkage analysis identified a locus on chromosome 8 between markers D8S1820 and D8S532 with the highest combined lod score of 7.077 at marker D8S505. This 9 cM interval located on 8p12-p11.21 represents a new locus for ARHSP-TCC. Neuregulin and KIF13B genes, located within this interval, are interesting functional candidate genes for this HSP form. CONCLUSION: Two consanguineous families with complicated autosomal recessive hereditary spastic paraplegia were clinically characterized and genetically mapped to a new locus on 8p12-p11.21.
[Clinical characteristics and variant analysis of five pedigrees with hereditary spastic paraplegia].
AbstractOBJECTIVE: To explore the clinical and genetic characteristics of five pedigrees affected with hereditary spastic paraplegia(HSP). METHODS: Clinical data of the five pedigrees was collected, and high-throughput sequencing was carried out to detect potential variants. Sanger sequencing were used to verify the results. RESULTS: The probands of pedigree 1 and 2 were found to harbor heterozygous SPAST gene variants, namely c.1196C>T and c.1523T>A. The proband of pedigree 3 harbored compound heterozygous variants of FA2H gene (c.61G>C and c.688G>A). Proband from pedigree 4 harbored compound heterozygous variants of SPG11 gene (c.6812+4_6812+7delAGTA and c.915delT). The proband of pedigree 5 harbored compound heterozygous variants of SPG7 gene (c.1703_1704delAG and c.1937-1G>C). Based on the American College of Medical Genetics and Genomics(ACMG) guidelines, all variants were predicted to be likely pathogenic. Among these, SPAST gene c.1523T>A, FA2H gene c.61.G>C, SPG11 gene splicing region c.6812+4_6812+7delAGTA, c.915delT, SPG7 gene c.1703_1704delAG and splicing region c.1937-1G>C variants were unreported previously. CONCLUSION: The probands of pedigrees 1 and 2 were diagnosed with autosomal dominant hereditary spastic paraplegia type 4, for which pedigree 2 showed incompletely penetrance. Pedigrees 3, 4, and 5 were diagnosed with autosomal recessive hereditary spastic paraplegia type 35, 11 and 7, respectively. Above result provided a reference for clinical diagnosis and genetic counseling for the affected pedigrees.
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.
