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2,489 results for “Sars-CoV-2”
Chembl antiviral ranked by cosine similarity to SARS-CoV-2 in KG-COVID-19 knowledge graph
<p>Chembl antiviral ranked by cosine similarity to SARS-CoV-2 in KG-COVID-19 knowledge graph</p>
(VIDEOS) In Silico Studies of the Biomolecular Interactions Between Natural Products and SARS-CoV-2 Main Protease
<p>Movies of molecular dynamics trajectories for all the complexes, made with VMD v1.9.3</p>
Dataset for Early pandemic molecular diversity of SARS-CoV-2 in children
<p>169 SARS-CoV-2 genomes used in Early pandemic molecular diversity of SARS-CoV-2 in children</p>
Conformational Ensembles of Non-Coding Elements in the SARS-CoV-2 Genome from Molecular Dynamics Simulations
<p>MD trajectories of SL1, SL2, SL2+SL3, SL4, and SL5a elements in SARS-CoV-2 5'UTR</p>
Dataset of article "Presence of SARS-CoV-2 Nucleoprotein in Cardiac Tissues of Donors with Negative COVID-19 Molecular Tests"
<p>The 2019 Coronavirus disease (COVID-19) outbreak had detrimental effects on essential medical services such as organ and tissue donation. Lombardy, one of the most active Italian regions in organ/tissue procurement, has been strongly affected by the COVID-19 pandemic. To date, data concerning the risk of SARS-CoV-2 transmission after tissue transplantation are controversial. Here, we aimed to evaluate the presence/absence of SARS-CoV-2 in different cardiac tissues eligible for transplantation obtained from Lombard donors. We used cardiovascular tissues from eight donors potentially suitable for pulmonary valve transplantation. All donor subjects involved in the study returned negative results for the SARS-CoV-2 RNA molecular tests (quantitative real-time reverse-transcription PCR, qRT-PCR, and chip-based digital PCR) in nasopharyngeal swabs (NPS) or bronchoalveolar lavage (BAL). None of the eight donors included in this study revealed the presence of the SARS-CoV-2 viral genome. However, evaluation of the protein content of pulmonary vein wall (PVW) tissue revealed variable levels of SARS-CoV-2 nucleoprotein signal in all donors. Our study demonstrated for the first time, to the best of our knowledge, that viral nucleoprotein but not viral RNA was present in the examined tissue bank specimens, suggesting the need for caution and in-depth investigations on implantable tissue specimens collected during the COVID-19 pandemic period.</p>
Simulation data on ORF6 from SARS-CoV-2 for a PhD thesis submitted to University College London
<p><strong>Unpublished data from a thesis submitted to University College London in September 2024 </strong></p> <p><em>Thesis title: Biophysical characterisation of ORF6 from SARS-CoV-2</em></p> <p><em><strong>Chapter 5 - full-length ORF6 metadynamic simulations in the AMBER03ws force field </strong></em></p> <p>The `Metadynamic_ORF6_full_length_simulations_Zenodo.tar.xz` directory contains data for a 61-residue disordered protein. The protein is ORF6 from SARS-CoV-2. The data were produced by metadynamics simulations in the AMBER03ws force field. I used PLUMED version 2.7.1 and GROMCS 2021.2. All the data and PLUMED input files required to reproduce the simulation results are available on PLUMED-NEST. This data should be used with the code provided on GitHub at [`https://github.com/alicejpettitt/thesis_2024/tree/main/chapter_5/full-length_orf6`](https://github.com/alicejpettitt/thesis_2024/tree/main/chapter_5/full-length_orf6)</p> <p>Once downloaded, this directory should be extracted using the following command: </p> <p>tar -xzvf Metadynamic_ORF6_full_length_simulations_Zenodo.tar.xz</p> <p>The directory should be saved with the name `Metadynamic_ORF6_full_length_simulations_Zenodo.tar.xz`` and placed in the same directory as the GitHub `README_metadynamic_simulations.md` file. </p> <p><strong>This dataset contains: </strong></p> <ul> <li> .pdb - atomic coordinate files for full-length ORF6 in the a03ws force field.</li> <li>_traj.trr - single concatenated trajectory files for the a03ws (ctr is just the last 21 residues of the full-length simulation).</li> <li>_weights_corr.dat - weights for each frame in _traj.trr for the a03ws run. Here, the weights of frames in which the peptide interacts with its periodic image have been set to zero. The cutoff was 1.2 nm.</li> <li>top_frames_.npy - numpy array of frames index for the a03ws simulations. Frames were selected based on weights_corr.dat.</li> <li>top_frames_.trr - trajectory of frames for the a03ws. Frames were selected based on weights_corr.dat</li> <li>CS_COLVAR_{system} - experimental and CamShift predicted chemical shifts for the last 21-residues of the full-length ORF6 simulation. </li> <li>Contacts directory: Contains Coulomb and LJ input files to make the contact maps. </li> </ul> <p><em><strong>Chapter 5 - ORF6-RAE1-NUP98_GLEBS metadynamic simulations in the AMBER99SB-disp force field </strong></em></p> <p>The `Metadynamic_ORF6_complex_simulations_Zenodo.tar.xz` directory contains data for the RAE1-NUP98-ORF6 complex. This was built upon the crystal structure: [`https://www.rcsb.org/structure/7VPH`](https://www.rcsb.org/structure/7VPH). The data were produced by metadynamics simulations in the AMBER99SB-disp force field. I used PLUMED version 2.7.1 and GROMCS 2021.2. This data should be used with the code provided on GitHub at [`https://github.com/alicejpettitt/thesis_2024/tree/main/chapter_5/orf6-rae1-nup98`](https://github.com/alicejpettitt/thesis_2024/tree/main/chapter_5/orf6-rae1-nup98)</p> <p>Once downloaded, this directory should be extracted using the following command: </p> <p>tar -xzvf Metadynamic_ORF6_complex_simulations_Zenodo.tar.xz</p> <p><strong>This dataset contains: </strong></p> <ul> <li>.pdb - atomic coordinate files for the complex in the AMBER99SB-disp force field</li> <li>traj.trr - single concatenated trajectory files for the</li> <li>_weights_corr.dat - weights for each frame in _traj.trr for the AMBER99SB-disp force field. Here, the weights of frames in which the peptide interacts with its periodic image have been set to zero. The cutoff was 1.2 nm. weights.dat is before this process.</li> <li>COLVAR files </li> </ul> <p>128 starting conformations (gro) files for each system listed above. </p>
Dataset to accompany "The ACE-2 receptor accelerates but is not biochemically required for SARS-CoV-2 membrane fusion"
<p>Analyzed data to accompany manuscript "The ACE-2 receptor accelerates but is not biochemically required for SARS-CoV-2 membrane fusion". <em>Chemical Science</em>, 2023, DOI: 10.1039/D2SC06967A</p>
Therapeutic Vaccine Trial of COVID-19 for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection
ClinicalTrials.gov study NCT04428073. IPD Sharing: NO. Countries: 0. Publications: 0.
Balneotherapy and Anxiety During SARS-CoV-2 Pandemic
ClinicalTrials.gov study NCT05249855. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
COVID-19 SARS-CoV-2 Antibody Testing Study
ClinicalTrials.gov study NCT05009888. IPD Sharing: Not stated. Countries: 0. Publications: 0.
COVID-19: A Trial Studying the SARS-CoV-2 mRNA Vaccine CVnCoV to Learn About the Immune Response, the Safety, and the Degree of Typical Vaccination Reactions When CVnCoV is Given at the Same Time as a
ClinicalTrials.gov study NCT04848467. IPD Sharing: NO. Countries: 0. Publications: 0.
Development of a Controlled Human Infection Model for Assessment of SARS-CoV-2 Omicron Subvariants
ClinicalTrials.gov study NCT07397455. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Psychological Impact of Admission With Covid-19 During the SARS-CoV-2 Pandemic: Naturalistic Cohort Study With a Digital Intervention
ClinicalTrials.gov study NCT04449627. IPD Sharing: NO. Countries: 0. Publications: 0.
Inhaled NO for the Treatment of COVID-19 Caused by SARS-CoV-2 (CANADA Trial)
ClinicalTrials.gov study NCT04456088. IPD Sharing: NO. Countries: 0. Publications: 0.
The Use of Peripheral Blood Specimens From Patients Suspected of Having SARS-CoV-2 Infections in Research Studies Intended to Support the Development of COVID-19 Detection Methods, Treatments, and/or
ClinicalTrials.gov study NCT04391400. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Study of the Efficacy and Safety of a Single Administration of Olokizumab vs. Placebo in Addition to Standard Treatment in Patients With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) In
ClinicalTrials.gov study NCT04452474. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Clinical Trial to Evaluate the Efficacy of RUTI® to Reduce the Severity of SARS-CoV-2 Infection (COVID-19)
ClinicalTrials.gov study NCT05115019. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Phase Ⅱ and Ⅲ Trial of a SARS-CoV-2 Vaccine LYB001
ClinicalTrials.gov study NCT05137444. IPD Sharing: NO. Countries: 0. Publications: 0.
A Retrospective Cohort Study for Main Postoperative Complications After SARS-CoV-2 Infection
ClinicalTrials.gov study NCT05781581. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Early Treatment Strategy With High-dose Dexamethasone in Patients With SARS-CoV-2
ClinicalTrials.gov study NCT05293210. IPD Sharing: Not stated. Countries: 0. 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.