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261
datasets available to search
ShareScore release 0.9.0
Dataset results
261 results for “protein prediction”
Differences in DNA-binding specificity of floral homeotic protein complexes predict organ-specific target genes
GEO Series GSE95730. synthetic construct. 28 samples. Type: Other.
Structure prediction of protein-ligand complexes from sequence information with Umol
<p>posebusters_benchmark_set.tar.zst - files for the prediction (features to Umol) and scoring of the pose busters benchmark </p><p>posebusters_pred_native.tar.zst - pdb and sdf files of proteins and ligands. Includes native structures, predicted structures and relaxed predicted structures with plDDT in the B factor column.</p><p>posebusters_scores.csv - contains ligand RMSD and other metrics for the unrelaxed structures predicted with Umol.</p><p>PDBBind_processed.tar.zst - files for the training (features to Umol) using PDBbind version 2020</p><p> </p><p> </p>
Protein Condensate Atlas from predictive models of heteromolecular condensate composition
Open the record for dataset details and reuse information.
Predicting biophysical characteristics of proteins from their amino acid sequence
<p>As part of the Galaxy Training Material, this is the tutorial workflow's input file in FASTA format. It contains the amino acid sequence of protein P04156 ("PRIO_HUMAN OS=Homo sapiens OX=9606 GN=PRNP PE=1 SV=1").</p>
Dataset from: Structure-based prediction of protein-nucleic acid binding using graph neural networks
<p>Datasets used for training/evaluating the neural network models described in our article. Additional documentation related to how these datasets were constructed can be found in the github repository https://github.com/jaredsagendorf/pnabind/tree/master/datasets</p>
A joint embedding of protein sequence and structure enables robust variant effect predictions
<p>Data related to the GitHub repository KULL-Centre/_2023_Blaabjerg_SSEmb, which is also stored on Zenodo here: <span><span><a href="../doi/10.5281/zenodo.13765792" target="_blank" rel="noopener noreferrer">https://zenodo.org/doi/10.5281/zenodo.13765792</a>.</span></span></p>
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction, 2014
<p>This contains the protein sequence and secondary structure dataset from <a href="https://proceedings.mlr.press/v32/zhou14.html"><strong>Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction</strong></a><strong>, ICML, 2014</strong></p> <p>This dataset was originally hosted at http://www.princeton.edu/~jzthree/datasets/ICML2014/. Since the original URL is no longer available and the dataset is still used by many, I moved the dataset here.</p>
Result data for article "Clade-wise alignment integration improves co-evolutionary signals for protein-protein interaction prediction"
<p>This dataset contains all the necessary data to reproduce figures in the paper [ "Clade-wise alignment integration improves co-evolutionary signals for protein-protein interaction prediction"](https://www.biorxiv.org/content/10.1101/2023.07.28.550005v1).</p> <p>More details can be found at: <a href="https://github.com/TaoDFang/PPI_Prediction_byCoevolution">https://github.com/TaoDFang/PPI_Prediction_byCoevolution</a></p>
Testicular Proteins for Sperm Retrieval Prediction Protein1, Testis-Expressed Gene 101, and Lectin Galactoside-binding Protein in Predicting Surgical Sperm Retrieval in Men With Non-Obstructive Azoosp
ClinicalTrials.gov study NCT06154954. IPD Sharing: NO. Countries: 1. Publications: 0.
Integrating Clinical, Protein Expression, and Genetic Markers to Predict Lymphedema in Breast Cancer
ClinicalTrials.gov study NCT07252843. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Protein and RNA Expression Patterns in Predicting Response to Treatment in Patients With Lung Cancer
ClinicalTrials.gov study NCT00897650. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Are the Pancreatic Serum Proteins Pancreatic Stone Protein (PSP) and Pancreatitis-Associated Protein (PAP) Predictive for the Development of Sepsis? Retrospective Study in Trauma Patients With Soft Ti
ClinicalTrials.gov study NCT00564109. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Protein S100B Versus Neutrophils/Lymphocytes Ratio in Early Prediction of Brain Injury
ClinicalTrials.gov study NCT07093723. IPD Sharing: YES. Countries: 1. Publications: 0.
Assessment of Heparin Binding Protein for the Prediction of Severe Sepsis
ClinicalTrials.gov study NCT03113721. IPD Sharing: NO. Countries: 1. Publications: 0.
Neutrophil-to-Lymphocite Ratio (NLR) and C-reactive Protein (CRP) as New Markers in Diagnosis and Prediction of Colorectal Cancer
ClinicalTrials.gov study NCT05129046. IPD Sharing: Not stated. Countries: 1. Publications: 0.
C-Reactive Protein and Sodium in Predicting Anastomotic Leakage
ClinicalTrials.gov study NCT04717648. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Topoisomerase II Alpha Gene Amplification and Protein Overexpression Predicting Efficacy of Epirubicin
ClinicalTrials.gov study NCT00162812. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Blood Proteins in Predicting Treatment Benefit in Patients With Recurrent and/or Metastatic Head and Neck Squamous Cell Cancer
ClinicalTrials.gov study NCT00896675. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Gene and Protein Expression Patterns in Predicting Response to Cetuximab in Patients With Recurrent and/or Metastatic Head and Neck Cancer
ClinicalTrials.gov study NCT00898742. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Prediction of Response to Kinase Inhibitors Based on Protein Phosphorylation Profiles in Tumor Tissue From Advanced Renal Cell Cancer Patients
ClinicalTrials.gov study NCT02071719. 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.