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266
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ShareScore release 0.9.0
Dataset results
266 results for “Protein Modelling”
Transcriptome analysis of a model cyanobacterium Synechococcus elongatus PCC7942 under salt stress and protein synthesis-inhibiting stress conditions
GEO Series GSE225426. Synechococcus elongatus PCC 7942 = FACHB-805. 10 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome Response and Protein Abundance are Correlated with Split Formation and Cell Detachment as Secondary Effects to Autoantibodies in Human Skin Organ Culture Models for Pemphgus Vulgaris
GEO Series GSE285008. Homo sapiens. 78 samples. Type: Expression profiling by high throughput sequencing.
FAPM: Functional Annotation of Proteins using Multi-Modal Models Beyond Structural Modeling
Open the record for dataset details and reuse information.
Multimodal analyses of a non-human primate model harboring mutant amyloid precursor protein transgenes driven by the human EF1α promoter [WGS]
GEO Series GSE194005. Callithrix jacchus. 2 samples. Type: Other.
Elucidating the conformational change of Dengue envelope protein using Markov State Model
<p>This is the dataset of input files, parameter files and run files for the various protein conformations generated in the study "Elucidating the conformational change of Dengue envelope protein using Markov State Model"</p>
Enabling population protein dynamics through Bayesian modeling
<p>The knowledge of protein dynamics or turnover in patients provides invaluable information related to certain diseases, drug efficacy, or biological processes. A great corpus of experimental and computational methods has been developed, including by us, in the case of human patients followed <em>in vivo</em>. Moving one step further, we propose here a new modeling approach to capture the highly relevant notion of population protein dynamics. Using two data sets, we show that models inspired by population pharmacokinetics can accurately capture protein turnover within a cohort of individuals, even in presence of substantial inter-individual variability.</p> <p>R scripts<br> ---------</p> <p>The script BUGS-SILK-7.R computes protein dynamics models for one patient at a time. It was used<br> to explore the possibility to apply Bayesian modeling to SILK data.</p> <p>The script BUGS-pop-models.R computes the population protein dynamics Bayesian models.</p> <p>Note that the script should work provided they are run with all the data folders<br> being subfolders of the working directory. </p> <p><br> Data folders<br> ------------</p> <p>HRMS (unbiased proteomics protocol, see Lehmann, et al., Anal Chem, 2019) folders contain<br> the results of the QNB analysis. One folder per fluid (CSF-HRMS-05-2021 & plasma-HRMS-05-2021).<br> Analysis results are provided in a tabulated text file in each case with individual protein<br> parameters. These parameter values are used to build prior distributions in the new paper.</p> <p>TQ (targeted MRM protocol) folders contain the results of the QNB analysis, which are the input<br> data for this paper. These are stored in the CSF-TQ-05-2021/models & plasma-TQ-05-2021/models<br> folders. In each case, a plot of the protein model is provided for reference (.pdf files)<br> as well as a table listing each observed RIA (-final-selection.txt files) and another table<br> providing the QNB model parameters (-bootstrap.txt files).</p> <p>In addition, thq TQ folders contain the results of the Bayesian population modeling. The<br> folders CSF-TQ-05-2021/BUGS-models & plasma-TQ-05-2021/BUGS-models contain the models<br> obtained with the non-informative prior.The folders CSF-TQ-05-2021/BUGS-models-prior &<br> plasma-TQ-05-2021/BUGS-models-prior contain the models obtained with the informative prior<br> built from the HRMS data.</p> <p>HRMS and TQ folders are respectively zipped under HRMS.folders.plasma-and-csf.zip <br> and TQ.folders.plasma-and-csf.zip files.</p>
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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.