Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
316
datasets available to search
ShareScore release 0.9.0
Dataset results
316 results for “Drug Target”
To Evaluate The Effect Of SAR153191 (REGN88) Added To Other RA Drugs In Patients With RA Who Are Not Responding To Or Intolerant Of Anti-TNF Therapy (SARIL-RA-TARGET)
ClinicalTrials.gov study NCT01709578. IPD Sharing: Not stated. Countries: 30. Publications: 10.
HealthCall-S: A Pilot Study Targeting Concurrent Non-injection Drug Use and Alcohol in HIV Primary Care Clinics
ClinicalTrials.gov study NCT02294318. IPD Sharing: Not stated. Countries: 1. Publications: 3.
MPACT Study to Compare Effects of Targeted Drugs on Tumor Gene Variations
ClinicalTrials.gov study NCT01827384. IPD Sharing: NO. Countries: 1. Publications: 1.
Drug-Targeted Alerts for Acute Kidney Injury
ClinicalTrials.gov study NCT02771977. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Supplementary materials from: Histone deacetylase 2 and 3 of Sarcoptes scabiei: Characterization of a potential drug target
Open the record for dataset details and reuse information.
Data for: A cell surface-binding antibody atlas nominates a MUC18-directed antibody-drug conjugate for targeting melanoma
Open the record for dataset details and reuse information.
Nano MOFs as targeted drug delivery agents to combat antibiotic resistant bacterial infections
Open the record for dataset details and reuse information.
Data from: Evaluating culture-free targeted next-generation sequencing for diagnosing drug-resistant tuberculosis: A multicentre clinical study of two end-to-end commercial workflows
Open the record for dataset details and reuse information.
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
<p>The Krogan Laboratory used affinity-purification mass spectrometry to identify 332 high confidence SARS-CoV-2-human protein-protein interactions, including 67 druggable human proteins or host factors targeted by 69 known drugs. Results may be relevant to antiviral drug production.</p>
Drug-target residence time data
<p>Drug-target residence time data:<br> - <strong>residence_time_data.xlsx </strong>contains information about target residence time and other binding kinetics coefficients, basic ligand properties like simplified molecular-input line-entry system (SMILES) or International Chemical Identifier (InChI) string, as well as the reference literature in PubMed</p> <p>- <strong>structures.zip</strong> contains structure files: the protein molecule along with other components such as water molecules and metal ions in the <em>pdb</em> format, while the ligand (drug) in Structure Data Format (<em>sdf</em>)</p> <p>All files can be opened via either a molecular visualization system (eg. PYMOL, Chimera) or a text editor.</p>
Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications.
<p>The datasets used in the publications titled "Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications"</p>
Binding networks identify targetable protein pockets for mechanism-based drug design
<p>This repository contains supporting files for the manuscript entitled: Binding networks identify targetable protein pockets for mechanism-based drug design.</p>
Perturbation response scanning of drug-target networks: Drug repurposing for multiple sclerosis
<p>This dataset contains molecular dynamics trajectories and corresponding input files used for simulations. The simulations were conducted using GROMACS and include detailed information about the simulated systems, such as the types of molecules, box dimensions, temperature, pressure, simulation time range, and time step.</p>
Potential drug targets for benign prostatic hyperplasia: A proteome-wide Mendelian randomization study
<p>Additional file 3</p>
MvGraphDTA: Multi-view-based graph deep model for drug-target affinity prediction by introducing the graphs and line graphs
<h1>MvGraphDTA</h1> <p>MvGraphDTA:通过引入图形和折线图,基于多视图的图形深度模型用于药物-靶点亲和力预测</p> <h2>要求</h2> <p><span><span>numpy</span></span><span>==1.23.5</span></p> <p><span><span>pandas</span></span><span>==1.5.2</span></p> <p><span><span>biopython</span></span><span>==1.79</span></p> <p><span><span>scipy</span></span><span>==1.9.3</span></p> <p><span><span>torch</span></span><span>==2.0.1</span></p> <p><span><span>torch_geometric</span></span><span>==2.3.1</span></p> <h2>示例用法</h2> <h3>1. 使用我们的预训练模型</h3> <p>在本节中,我们提供了 pdbbindv2016 的核心集数据和 Li 的数据(过滤后的 casf2013 和 casf2016),您可以直接执行以下命令来运行我们的预训练模型并在核心集上获取结果。</p> <pre># Run the following command.<br>python test_pretrain.py</pre> <h3>2. 在数据集上运行</h3> <p>在本节中,您必须提供药物的 .sdf 文件以及靶标的 .pdb 文件。</p> <div> <p># 您可以通过运行以下命令获取药物和靶点的图形和折线图。<br>Python data_process.py</p> <p># 当所有数据都准备好后,您可以通过运行以下命令来训练自己的模型。<br>Python training.py</p> </div>
High resolution deep mutational scanning of the melanocortin-4 receptor enables target characterization for drug discovery
<p>This record contains supplementary data files related to <a href="https://www.biorxiv.org/content/10.1101/2024.10.11.617882v1">High resolution deep mutational scanning of the melanocortin-4 receptor enables target characterization for drug discovery</a>, described below. For more information regarding statistical modeling and subsequent biological interpretation, please see <a href="https://github.com/octantbio/mc4r-dms">the mc4r-dms Github repository</a>.</p> <p> - <strong>MC4R-DMS-barcode-maps.tar.gz</strong> contains two large TSV files, each containing an oligonucleotide-barcode map for either the CRE or UAS system. Each map contains two columns: (i) the barcode sequence and (ii) the oligonucleotide (variant) identifier.</p> <p> - <strong>MC4R-DMS5-Gs-barcode-counts.tar.gz</strong>, <strong>MC4R-DMS8-Gq-barcode-counts.tar.gz</strong>, and <strong>MC4R-DMS11-Gs-barcode-counts.tar.gz</strong> each contain a set of TSV files representing the raw barcode counts for each sample, with one TSV file per sample. Each individual sample TSV file has two columns: (i) the read count and (ii) the barcode sequence</p> <p> - <strong>sample-properties.tar.gz</strong> contains three small TSV files each with three columns: (i) a sample ID matching the individual sample files in the barcode-counts directories, (ii) a condition or treatment label, and (iii) a condition or treatment dosage if applicable</p> <p> - <strong>MC4R-mapped-counts.tar.gz</strong> contains three TSV files, one per dataset (DMS5, DMS8, and DMS11), containing all barcodes joined to the relevant barcode map across all samples. Each file contains the following columns:</p> <table> <tbody> <tr> <td>sample</td> <td>the sample identifier corresponding to the file names in each barcode-counts directory</td> </tr> <tr> <td>barcode</td> <td>barcode sequence</td> </tr> <tr> <td>count</td> <td>read count</td> </tr> <tr> <td>lib</td> <td>library ID (always OCNT-DMSLIB-0)</td> </tr> <tr> <td>chunk</td> <td>chunk identifier</td> </tr> <tr> <td>wt_aa</td> <td>reference amino acid</td> </tr> <tr> <td>pos</td> <td>amino acid position</td> </tr> <tr> <td>mut_aa</td> <td>mutated amino acid</td> </tr> <tr> <td>wt_codon</td> <td>reference codon sequence</td> </tr> <tr> <td>mut_codon</td> <td>mutated codon sequence</td> </tr> <tr> <td>condition</td> <td>name of treatment condition</td> </tr> <tr> <td>condition_conc</td> <td>dosage of treatment compound, if relevnat</td> </tr> <tr> <td>stop_counts</td> <td>the natural log of the sum of stop-associated barcodes for the containing chunk</td> </tr> </tbody> </table> <p> </p>
Association between plasma lipids and ischemic stroke: a multivariable and drug-target Mendelian randomization study
<p>The sensitivity analysis results using the leave-one-out approach revealed that no individual SNP substantially drove the association between plasma lipids and each disease outcome (Figure S1-S4).</p> <p> </p> <p>The STROBE-MR checklist is also attached.</p>
Using Vedolizumab-800CW to Gain Insight Into Local Drug Distribution and Mucosal Target Cells in IBD Patients
ClinicalTrials.gov study NCT04112212. IPD Sharing: NO. Countries: 1. Publications: 3.
ADCE-T02, a Tissue Factor Targeted Antibody-Drug Conjugate, in Patients With Selected Advanced Solid Tumours
ClinicalTrials.gov study NCT06597721. IPD Sharing: Not stated. Countries: 2. Publications: 0.
The Swedish Prison Program is an Intervention Prevention Program Targeting Injecting Drug Users Risk Behaviours and Infectious Diseases
ClinicalTrials.gov study NCT02234167. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
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.