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Multi-scale predictive modeling discovers Ibudilast as a polypharmacological agent to improve hippocampal-dependent spatial learning and memory and mitigate plaque and tangle pathology in a transgenic rat model of Alzheimer’s disease

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.06.438662Source: DataRank Database

Multi-scale predictive modeling discovers Ibudilast as a polypharmacological agent to improve hippocampal-dependent spatial learning and memory and mitigate plaque and tangle pathology in a transgenic rat model of Alzheimer’s disease is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (3)IDs (PubMed)SDGs (1)

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Authors (9)

Charles H. Wallace,Osama Chaudry,Qiao Liu ORCID,Yue Qiu ORCID,Lei Xie ORCID

Live enrichment

PubMed:19162232

National Institutes of Health

Grant: 2R25GM060665-05

RISE Program at Hunter College

National Institutes of Health

Grant: 2R01GM122845-05

AI-powered chemical proteomics for drug discovery targeting orphan proteins

National Institutes of Health

Grant: 5R01AG057555-08

AI-Powered Quantitative Systems Pharmacology for AD Drug Repurposing

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/04/08/2021.04.06.438662.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.04.06.438662

https://doi.org/10.1101/2021.04.06.438662

https://dx.doi.org/10.1101/2021.04.06.438662

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Sustainable Development Goals

SDG 3: 3. Good health