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”
NSD2 targeting reverses lineage plasticity and drug resistance in advanced prostate cancer [snATAC-seq and multiome snATAC-seq]
GEO Series GSE237196. Mus musculus. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Data for "Machine Learning Scoring Functions for Drug Discovery from Experimental and Computer-generated Protein-Ligand Structures: Towards Per-target Scoring Functions"
<p>Data used in "<em>Machine Learning Scoring Functions for Drug Discovery from Experimental and Computer-generated Protein-Ligand Structures: Towards Per-target Scoring Functions</em>"<br> by F. Pellicani, D. Dal Ben, A. Perali, S. Pilati</p> <p>If you use these data or the python script for your research or other activities, please cite the corresponding journal article.</p> <p> </p> <p>====================</p> <p>Uncompressing the zipped file <em>DataSFUnicam.zip</em> provies the following files and folders:</p> <p><br> <strong>DataSFUnicam/</strong></p> <p> </p> <p> ExperimentalDataPDBFiles/<br> <em>This folder contains 2408 .pdb files of experimental complex structures. The files are named with a univocal code corresponding to the protein-ligand complex.</em></p> <p> </p> <p> ExperimentalDataXLSXFile.xlsx<br> <em>This Excel file reports the experimental protein-ligand chemical information. In the sheet named “Foglio1”, the first column contains the univocal code of the protein-ligand complex, the second column contains the experimentally measured pK_d.</em></p> <p> </p> <p> SyntheticDataPDBFiles/<br> <em>This folder contains the .pdb files of the synthetic complex structures. The .pdb files are grouped in 17 folders according to just as many target proteins. The folders are named after the corresponding protein. Each folder contains the .pdb files for the best position of each protein-ligand pair according to the MOE docking score. The files are named with a univocal code.</em></p> <p> </p> <p> SyntheticDataXLSXFiles/<br> <em> The folder contains 17 Excel files with the chemical information of the synthetic protein-ligand complexes. The files are named after the corresponding target protein. In the sheet named “Foglio1” of each .xlsx file, the first column contains a univocal code of the protein-ligand complex in each conformation, the second column contains an auxiliary numerical code corresponding to the protein-ligand pair, the third column contains the experimentally measured pK_i, and the fourth column contains the docking score provided by the MOE software.</em></p> <p>====================</p> <p>USER GUIDE FOR THE PYTHON SCRIPT</p> <p>Download and uncompress the zipped file "<em>SFUnicam.zip</em>" with a command like "<em>unzip SFUnicam.zip</em>". </p> <p>The following file structure is created:</p> <p><em>SFUnicam/</em></p> <p> <em>ComplexToBePredictedFolder/4ey5_30.pdb <br> MaxAssMatrix.npy<br> my_model<br> devStndSynt.npy<br> mediaSynt.npy<br> UnicamSF13prot.py<br> README.txt</em><br> <br> The subfolder "<em>ComplexToBePredictedFolder/</em>" contains the example PDB file "<em>4ey5_30.pdb</em>".</p> <p>-) To execute the script "<em>UnicamSF13prot.py</em>", Python 3 should be installed with the following libraries and sublibraries:<br> <em>Keras:<br> Regularizers<br> Sequential (keras.models)<br> Conv1D, Dense, MaxPooling1D, GlobalMaxPooling1D, GlobalAveragePooling1D, AveragePooling1D (keras.layers)<br> Adam (keras.optimizers)<br> Numpy</em><br> <em>Tensorflow</em></p> <p>Operation:<br> -) Copy the .pdb file related to the protein-ligand complex whose affinity is to be predicted in the subfolder “<em>ComplexToBePredictedFolder/</em>”.<br> -) Make sure the following files are in the same folder where the python script is:<br> <em>MaxAssMatrix.npy<br> mediaSynt.npy<br> devStndSynt.npy<br> my_model</em><br> -) Run the code using Python 3 with a command like "<em>python3.x UnicamSF13prot.py</em>".<br> -) Enter the name of the protein-ligand PDB file whose affinity is to be predicted (excluding the extension ".pdb").<br> -) Read the predicted affinity from screen.<br> </p> <p> </p>
mXELOXIRI Combined With Molecular Targeted Drug in mCRC
ClinicalTrials.gov study NCT04160416. IPD Sharing: NO. Countries: 1. Publications: 0.
NGS-based Large-panel in Targeted Drug Delivery and Immunotherapy of Lung Cancer
ClinicalTrials.gov study NCT04159337. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Testing the Combination of Targeted Radiotherapy With Anti-Cancer Drugs, Venetoclax and ASTX-727, to Improve Outcomes for Adults With Newly Diagnosed Acute Myeloid Leukemia
ClinicalTrials.gov study NCT06802523. IPD Sharing: YES. Countries: 1. Publications: 0.
The Finnish National Study to Facilitate Patient Access to Targeted Anti-cancer Drugs
ClinicalTrials.gov study NCT05159245. IPD Sharing: YES. Countries: 1. Publications: 0.
Interest of a Targeted Therapy for the Treatment of a Severe Form of Hypersensitivity to Drug (DRESS Syndrome)
ClinicalTrials.gov study NCT06734884. IPD Sharing: YES. Countries: 1. Publications: 0.
Novel Targeted Drugs Combined With R-ICE Regimen in Relapsed and Refractory Diffuse Large B-cell Lymphoma
ClinicalTrials.gov study NCT05348213. IPD Sharing: NO. Countries: 1. Publications: 0.
Targeting Drug Memories With Methylphenidate
ClinicalTrials.gov study NCT05978167. IPD Sharing: YES. Countries: 1. Publications: 0.
Irofulven in AR-targeted and Docetaxel-Pretreated mCRPC Patients With Drug Response Predictor (DRP®)
ClinicalTrials.gov study NCT03643107. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Efficacy and Safety of Triple-targeted Drug Therapy in Treatment-naive Patients With Non-low-risk PAH: A Real-world, Multicenter Study
ClinicalTrials.gov study NCT06753981. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Prospective Evaluation of Intrathecal Targeted Drug Delivery for Cancer Associated Pain
ClinicalTrials.gov study NCT05674240. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Bail-Out Stenting and Target-vessel Failure After Drug Coated Balloon Coronary percutaneouS Angioplasty for de Novo Lesions
ClinicalTrials.gov study NCT06247982. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparing Combinations of Targeted Drugs for Advanced Non-Small Cell Lung Cancer That Has EGFR and MET Gene Changes (A Lung-MAP Treatment Trial)
ClinicalTrials.gov study NCT05642572. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Bispecific T-Cell Engager Tarlatamab and TROP2 Targeted Antibody Drug Conjugate Sacituzumab Govitecan in Previously Treated Extensive-Stage Small Cell Lung Cancer and Extrapulmonary Neuroendocrine Can
ClinicalTrials.gov study NCT07328490. IPD Sharing: YES. Countries: 1. Publications: 0.
Safety Surveillance of Targeted Drugs for Pulmonary Hypertension Using a Computerized Follow-up System: a Nationwide Cohort Study
ClinicalTrials.gov study NCT05372263. IPD Sharing: NO. Countries: 1. Publications: 0.
Clinical Study of Neoantigen Vaccine Combined With Targeted Drugs in the Treatment of Non-small Cell Lung Cancer
ClinicalTrials.gov study NCT04487093. IPD Sharing: NO. Countries: 1. Publications: 0.
TARGETed Therapy Drug MONITOring in DIGestive Oncology
ClinicalTrials.gov study NCT05443087. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Spatial Analysis of Hotspots and Targeted Injection Settings Pilot Intervention for HIV Prevention Among People Who Inject Drugs
ClinicalTrials.gov study NCT05769023. IPD Sharing: YES. Countries: 1. Publications: 0.
Drug Survival of Target Therapies in Atopic Dermatitis
ClinicalTrials.gov study NCT06882148. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.