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Dataset results
10 results for “virtual target”
Data and code to perform the"Target deformation" workflow in R: virtual reconstruction of the Equus stenonis holotype skulll
<p>Data and code to perform the"Target deformation" workflow in R: virtual reconstruction of the Equus stenonis holotype skulll.</p> <p>TargetDeformation.R: R code with for the Target Deformation procedure.<br> IGF560.ply: 3D mesh of the holotype IGF560 in ply extension.<br> IGF560_set.txt: landmark set of the holotype IGF560.<br> Dm. 5/154.3/4.A4.5.ply: 3D mesh of Dm 5/154.3/4.A4.5 in .ply extension.<br> Dm_set.txt: landmark set of the Dm 5/154.3/4.A4.5 sample.<br> IGF11023: 3D mesh of IGF11023 in.ply extension.<br> IGF11023_set.txt: landmark set on the IGF11023 sample.<br> IGF560R: 3D mesh of IGF560R in.ply extension.<br> IGF560W: 3D mesh of IGF560W in.ply extension.<br> IGF560R-s: 3D mesh of IGF560R-s in.ply extension.<br> IGF560W-s: 3D mesh of IGF560W-s in.ply extension.<br> IGF560_IGF560R_IGF560W.html: file that contain WebGL code to reproduce the 3D meshes of IGF560, IGF560R and IGF560W in a browser.<br> IGF560Rs_IGF560Ws.html: file that contain WebGL code to reproduce the 3D meshes of IGF560R-S and IGF560W-S in a browser.<br> IGF560W Mesh area variation.html: file that contain WebGL code to reproduce two 3d meshes of IGF560W using localmeshDist() and meshdist() in a browser.<br> </p>
Support data for conference paper "Assessment of Communication Resource Allocation by the Transmission Control Protocol for the Target Virtual Connection under Competitive Conditions"
<p>Support data for article</p> <p>V. Kovtun, O. Kovtun, K. Grochla, and K. Połys, “Assessment of Communication Resource Allocation by the Transmission Control Protocol for the Target Virtual Connection under Competitive Conditions,” Electronics, vol. 13, no. 7. MDPI AG, p. 1180, Mar. 22, 2024. doi: 10.3390/electronics13071180.</p> <div> <p>This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.</p> </div>
Embodiment of virtual feet correlates with motor performance in a target-stepping task
<p>Dataset for the human factors experiment of "Embodiment of virtual feet correlates with motor performance in a target-stepping task".</p>
Embodiment of virtual feet correlates with motor performance in a target-stepping task: A pilot study
<p>Dataset for the human factors pilot experiment of "Embodiment of virtual feet correlates with motor performance in a target-stepping task: A pilot study"</p>
Ablation at Virtual-hEart pRedicted Targets for VT
ClinicalTrials.gov study NCT03536052. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Identification of a selective G1-phase benzimidazolone inhibitor by a senescence-targeted virtual screen using artificial neural networks
GEO Series GSE72621. Homo sapiens. 38 samples. Type: Expression profiling by array.
Accuracy or novelty: what can we gain from target-specific machine learning-based scoring functions in virtual screening?
<p>Datasets, features, and some representative scripts utilized in the paper "Accuracy or novelty: what can we gain from target-specific machine learning-based scoring functions in virtual screening?" </p>
3-Dimensional Virtual Reality Modelling With Intravascular Indocyanine Green Fluorescence Mapping for Targeted Pulmonary Segmental Resection Trial
ClinicalTrials.gov study NCT06638125. IPD Sharing: NO. Countries: 1. Publications: 0.
Targeting the Hip Abductors to Reduce Falls in Older Veterans Through A Virtual Multimodal Balance Intervention
ClinicalTrials.gov study NCT07109466. IPD Sharing: NO. Countries: 1. Publications: 0.
Identification of Potential Multi-Target Directed Ligands Through Virtual Screening and Molecular Dynamics Simulation Approach for the Treatment of Alzheimer's Disease
<p>Alzheimer’s disease (AD) is a multifactorial neurological disorder characterized by memory loss and cognitive impairment. The currently available single-targeting drugs have miserably failed in the treatment of AD and multi-target directed ligands (MTDLs) are being explored as an alternative strategy. Cholinesterase and monoamine oxidase enzymes are reported to play crucial role in the pathology of AD and multipotent ligands targeting these two enzymes simultaneously, are under various phases of design and development. Recent studies have revealed that computational approaches are robust and trusted tools for the identification of novel therapeutics. The current research work is focused on the development of potential multitarget directed ligands that simultaneously inhibit acetylcholinesterase (AChE) and monoamine oxidase B (MAO-B) enzymes employing structure-based virtual screening (SBDD) approach. The ASINEX database was screened after applying pan assay interference and drug likeness filter to identify novel molecules using three docking precision criteria Highthroughput virtual screening (HTVS), Standard Precision (SP), and extra precision (XP). Additionally, binding free energy calculations, ADME and molecular dynamic simulations were also employed to get structural insights into mechanism of protein-ligand binding and pharmacokinetic properties. Three lead molecules viz. AOP19078710, BAS00314308 and BDD26909696 were successfully identified which displayed binding score of -10.565, -10.543 & -8.066 kcal/mol against AChE and -11.019, -12.357 & -10.068 kcal/mol against MAO-B, better score as compared to the standard inhibitors. In near future, these molecules will be synthesized and evaluated through in vitro and in vivo assays for their inhibition potential against AChE and MAO-B enzymes.</p>
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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.