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Dataset results
12 results for “Drug Repositioning”
COVID-CDR: An integrative resource for network-based investigation of COVID-19 combinatorial drug repositioning and mechanism of action
<p>Repurposing of the existing medications has become the mainstream focus of anti-COVID-19 drug discovery as it offers rapid and cost-effective solutions for therapeutic development. However, a great effort is still required to enhance the efficacy of repurposing therapeutic options through combination therapy, in which promising drugs with varying mechanisms of action are administered together. Nonetheless, our ability to identify and validate effective combinations is limited due to the vast number of possible drug pairs. Yet, there is no <span>available resource that</span> <span>can systematically guide to identify or choose the effective individual drugs or best possible synergistic drug combinations for the treatment of SARS-CoV</span>-<span>2 infection.</span> To address this resource gap<span>, we </span>developed <span>a web-based platform that displays the network-based mechanism of action of drug combinations, thus simultaneously </span>providing <span>a visual of the cellular interactome involved in modes of action of the chosen drugs. The platform allows the freedom to </span>select <span>two or more drug combinations and provides the options to investigate the network-based efficacy of drug combinations and understand the similarity score, primary indications, and pairwise synergistic scores on different cell-lines. In a nutshell, the platform (accessible via </span><a href="http://vafaeelab.com/COVID19_repositioning.html"><span>http://vafaeelab.com/COVID19_repositioning.html</span></a><span>) is the first of its type, which provides a systematic approach for pre-clinical investigation of combination therapy for treating COVID-19 at the fingertips of the clinicians or researchers.</span></p>
A comparative benchmarking and evaluation framework for heterogeneous network-based drug repositioning methods
<p>This repository contains all the datasets used for benchmarking drug repositioning methods based on heterogeneous networks, including drug-drug similarity, disease-disease similarity, and drug-disease associations.</p> <p>The repository consists of:</p> <ol> <li>Name or keyword information for drugs and diseases information contained in the dataset</li> <li>Inputs needed for different drug repositioning methods: multiple drug similarity matrices,multiple disease similarity matrices, and drug-disease associations matrices.</li> </ol> <p> </p> <p> </p> <blockquote> <p><strong>Please cite us :</strong><br>Yinghong Li, Yinqi Yang, Zhuohao Tong, Yu Wang, Qin Mi, Mingze Bai, Guizhao Liang, Bo Li, Kunxian Shu, A comparative benchmarking and evaluation framework for heterogeneous network-based drug repositioning methods, <em>Briefings in Bioinformatics</em>, Volume 25, Issue 3, May 2024, bbae172, <a href="https://doi.org/10.1093/bib/bbae172">https://doi.org/10.1093/bib/bbae172</a></p> </blockquote>
COVID-CDR: An integrative resource for network-based investigation of COVID-19 combinatorial drug repositioning and mechanism of action
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DREDDA: Drug Repositioning through Expression Data Domain Adaptation
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Drug repositioning of inflammatory bowel disease based on co-target gene expression signature of glucocorticoid receptor and TET2
GEO Series GSE250063. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
A survey of optimal strategy for signature-based drug repositioning and an application to liver cancer (liver cancer cell lines)
GEO Series GSE193897. Homo sapiens. 26 samples. Type: Expression profiling by high throughput sequencing.
An integrated drug repositioning analysis identifies rosiglitazone as a repurposing candidate for sarcopenia
GEO Series GSE256241. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
A survey of optimal strategy for signature-based drug repositioning and an application to liver cancer
GEO Series GSE180243. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Discovery of therapeutic agents targeting PKLR for NAFLD using drug repositioning
GEO Series GSE193627. Mus musculus. 64 samples. Type: Expression profiling by high throughput sequencing.
A Transcriptomics-Based Computational Drug Repositioning Pipeline Identifies Simvastatin And Primaquine As Novel Therapeutics For Endometriosis Pain
GEO Series GSE296883. Rattus norvegicus. 66 samples. Type: Expression profiling by high throughput sequencing.
Aortic valve calcification is induced by the loss of ALDH1A1 and can be prevented by agonists of retinoic acid receptor alpha: preclinical evidence for drug repositioning
GEO Series GSE285688. Homo sapiens. 15 samples. Type: Expression profiling by array.
Aortic valve calcification is induced by the loss of ALDH1A1 and can be prevented by agonists of retinoic acid receptor alpha: preclinical evidence for drug repositioning, 2
GEO Series GSE285779. Homo sapiens. 10 samples. Type: Expression profiling by array.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.