100+ datasets found
  1. pEC50 prediction - dopamine receptor

    • kaggle.com
    zip
    Updated Nov 24, 2024
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    Bhawakshi (2024). pEC50 prediction - dopamine receptor [Dataset]. https://www.kaggle.com/datasets/bhawakshi/pec50-prediction-dopamine-receptor
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    zip(137658 bytes)Available download formats
    Dataset updated
    Nov 24, 2024
    Authors
    Bhawakshi
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    This dataset was curated from the ChEMBL database and further enriched with RDKit-calculated molecular properties. It serves as a valuable resource for cheminformatics and machine learning tasks, particularly in drug-target interaction studies.

    The dataset comprises around 3000 instances, each representing a unique molecule and its interaction with dopamine receptors. The key features include:

    • ChEMBL ID and SMILES: Molecular identifiers and structure information.
    • Experimental Data: EC50 values (nM), pEC50 values (log-transformed potency measure).
    • Assay Type and Target Name: Experimental context and receptor subtype targeted - D1, D2, D3, D4 and D5.
    • Molecular Descriptors:
    • MW: Molecular Weight of the molecule in Da.
    • LogP (Lipophilicity): Indicating hydrophobicity.
    • H_Donors and H_Acceptors: Indicators of hydrogen bonding capacity.
    • TPSA (Topological Polar Surface Area): Important for bioavailability.
    • Ring_Count and Rotatable_Bonds: Measures of molecular complexity.
  2. d

    Data from: Change of dopamine receptor mRNA expression in lymphocyte of...

    • catalog-old.data.gov
    • data.ar.virginia.gov
    • +6more
    Updated Sep 6, 2025
    + more versions
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    National Institutes of Health (2025). Change of dopamine receptor mRNA expression in lymphocyte of schizophrenic patients [Dataset]. https://catalog-old.data.gov/dataset/change-of-dopamine-receptor-mrna-expression-in-lymphocyte-of-schizophrenic-patients
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    Dataset updated
    Sep 6, 2025
    Dataset provided by
    National Institutes of Health
    Description

    Background Though the dysfunction of central dopaminergic system has been proposed, the etiology or pathogenesis of schizophrenia is still uncertain partly due to limited accessibility to dopamine receptor. The purpose of this study was to define whether or not the easily accessible dopamine receptors of peripheral lymphocytes can be the peripheral markers of schizophrenia. Results 44 drug-medicated schizophrenics for more than 3 years, 28 drug-free schizophrenics for more than 3 months, 15 drug-naïve schizophrenic patients, and 31 healthy persons were enrolled. Sequential reverse transcription and quantitative polymerase chain reaction of the mRNA were used to investigate the expression of D3 and D5 dopamine receptors in peripheral lymphocytes. The gene expression of dopamine receptors was compared in each group. After taking antipsychotics in drug-free and drug-naïve patients, the dopamine receptors of peripheral lymphocytes were sequentially studied 2nd week and 8th week after medication. In drug-free schizophrenics, D3 dopamine receptor mRNA expression of peripheral lymphocytes significantly increased compared to that of controls and drug-medicated schizophrenics, and D5 dopamine receptor mRNA expression increased compared to that of drug-medicated schizophrenics. After taking antipsychotics, mRNA of dopamine receptors peaked at 2nd week, after which it decreases but the level was above baseline one at 8th week. Drug-free and drug-naïve patients were divided into two groups according to dopamine receptor expression before medications, and the group of patients with increased dopamine receptor expression had more severe psychiatric symptoms. Conclusions These results reveal that the molecular biologically-determined dopamine receptors of peripheral lymphocytes are reactive, and that increased expression of dopamine receptor in peripheral lymphocyte has possible clinical significance for subgrouping of schizophrenis.

  3. d

    Data from: Synaptic vesicle glycoprotein 2C enhances vesicular storage of...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Jul 30, 2025
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    Meghan Bucher (2025). Synaptic vesicle glycoprotein 2C enhances vesicular storage of dopamine and counters dopaminergic toxicity [Dataset]. http://doi.org/10.5061/dryad.zpc866tdc
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    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Meghan Bucher
    Time period covered
    Jan 1, 2023
    Description

    Dopaminergic neurons of the substantia nigra exist in a persistent state of vulnerability resulting from high baseline oxidative stress, high energy demand, and broad unmyelinated axonal arborizations. Impairments in the storage of dopamine compound this stress due to cytosolic reactions that transform the vital neurotransmitter into an endogenous neurotoxicant, and this toxicity is thought to contribute to the dopamine neuron degeneration that occurs Parkinson’s disease. We have previously identified synaptic vesicle glycoprotein 2C (SV2C) as a modifier of vesicular dopamine function, demonstrating that genetic ablation of SV2C in mice results in decreased dopamine content and evoked dopamine release in the striatum. Here, we adapted a previously published in vitro assay utilizing false fluorescent neurotransmitter 206 (FFN206) to visualize how SV2C regulates vesicular dopamine dynamics and identified that SV2C promotes the uptake and retention of FFN206 within vesicles. In addition, w..., , , # Synaptic vesicle glycoprotein 2C enhances vesicular storage of dopamine and counters dopaminergic toxicity

    This dataset contains the raw data corresponding to the manuscript Synaptic vesicle glycoprotein 2C enhances vesicular storage of dopamine and counters dopaminergic toxicity. Inclusive in this dataset is the following: 1) a GraphPad Prism file containing all of the data found in the manuscript with statistical analysis and graphs; 2) individual .csv files containing the data for each graph of data found in the manuscript including a separate .csv for corresponding statistics (files ending in _stats); 3) individual PDFs of graphs generated in GraphPad Prism; and 4) raw image files for microscopy and Western blots. These data demonstrate the principal findings for the manuscript that the protein SV2C: 1) enhances vesicular storage of dopamine and dopamine analogues (e.g., FFN206 and MPP+), and 2) confers neuroprotection against dopaminergic toxicity.

    Description of the d...

  4. d

    Data from: Dopamine and serotonin co-transmission filters striatonigral...

    • search.dataone.org
    Updated Oct 9, 2025
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    Ori Lieberman; Maya Molinari; Anders Borgkvist; David Sulzer; Emanuela Santini; Alina Aaltonen (2025). Dopamine and serotonin co-transmission filters striatonigral synaptic activity via 5-HT1B receptor activation [Dataset]. http://doi.org/10.5061/dryad.2z34tmpzx
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    Dataset updated
    Oct 9, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Ori Lieberman; Maya Molinari; Anders Borgkvist; David Sulzer; Emanuela Santini; Alina Aaltonen
    Description

    The substantia nigra pars reticulata (SNr), a key basal ganglia output nucleus, is modulated by dopamine (DA), believed to be released locally from midbrain dopamine neurons. Although DA has been proposed to regulate GABA release from medium spiny neurons (MSN) terminals via presynaptic D1 receptors (D1Rs), the precise mechanisms remain unclear. Using presynaptic optical recordings of synaptic vesicle fusion, calcium influx in D1-MSN synapses, together with postsynaptic patch-clamp recordings from SNr neurons, we found that DA inhibits D1-MSN GABA release in a frequency-dependent manner. Surprisingly, this effect was independent of DA receptors and instead required 5-HT1B receptor activation. Using two-photon serotonin biosensor imaging in slices and fiber photometry in vivo, we demonstrate that DA enhances extracellular serotonin in the SNr. Our results suggest that serotonin mediates DAergic control of basal ganglia output and contributes to the therapeutic actions of dopaminergic med..., , , # Data from: Dopamine and serotonin co-transmission filters striatonigral synaptic activity via 5-HT1B receptor activation

    Dataset DOI: 10.5061/dryad.2z34tmpzx

    Description of the data and file structure

    This dataset contains the source data for all figures.

    Each CSV file corresponds to one figure panel as indicated by the filename.

    - Columns:

    "x" = time or condition

    "y" = measurement (e.g., normalized fluorescence, ΔF/F, etc.)

    "sem" = standard error of the mean (if applicable)

    "n" = number of observations (if applicable)

    For details on experimental design, see Materials and Methods in the manuscript.

    Contact: Anders Borgkvist, Department of Neuroscience, Karolinska Institutet, anders.borgkvist@ki.se

    Files and variables

    File: Dataset_Molinari_etal.zip

    Root Contents

    • README.txt — Text note/README.

    Fiber_photometry_analysis_code

    • README_FP.txt

    – Type: Text file

    • ann_5HT_grab.m...

  5. Single Cell Analysis For Human Dopamine Neurons

    • kaggle.com
    zip
    Updated Jul 30, 2025
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    rorodan (2025). Single Cell Analysis For Human Dopamine Neurons [Dataset]. https://www.kaggle.com/datasets/rorodan/single-cell-analysis-for-human-dopamine-neurons/data
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    zip(3021667244 bytes)Available download formats
    Dataset updated
    Jul 30, 2025
    Authors
    rorodan
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset is used by the research Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease, it contains the human digital gene expression matrix and the macaque slide seqv2 dataset publish by the authors. - The data for Cross Species analysis are not included.

    You can check the result produced by research:

    1. Single Cell Analysis
    2. Slide Seq
  6. d

    Dataset for dopamine manipulated daphnia

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Apr 6, 2022
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    Sigurd Einum (2022). Dataset for dopamine manipulated daphnia [Dataset]. http://doi.org/10.5061/dryad.63xsj3v4d
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    zipAvailable download formats
    Dataset updated
    Apr 6, 2022
    Dataset provided by
    Dryad
    Authors
    Sigurd Einum
    Time period covered
    Mar 16, 2022
    Description

    See the file README.docx for description of data files.

  7. b

    Dopamine

    • bmrb.io
    • bmrb.wisc.edu
    Updated Dec 19, 2017
    + more versions
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    Francisca Jofre; Mark Anderson; John Markley (2017). Dopamine [Dataset]. http://doi.org/10.13018/BMSE000933
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    Dataset updated
    Dec 19, 2017
    Dataset provided by
    Biological Magnetic Resonance Data Bank
    Authors
    Francisca Jofre; Mark Anderson; John Markley
    Description

    Biological Magnetic Resonance Bank Entry bmse000933: Dopamine

  8. Dataset - Sequence termination cues drive automated habit-like strategy via...

    • doi.gin.g-node.org
    Updated Apr 24, 2026
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    Robin Magnard; Yifeng Cheng; Joanna Zhou; Haley Province; Nathalie Thiriet; Patricia Janak; Youna Vandaele (2026). Dataset - Sequence termination cues drive automated habit-like strategy via dopamine-mediated processes [Dataset]. http://doi.org/10.12751/g-node.sjbe9e
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    Dataset updated
    Apr 24, 2026
    Dataset provided by
    Insermhttp://inserm.fr/en
    Department of Psychological and Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD
    Authors
    Robin Magnard; Yifeng Cheng; Joanna Zhou; Haley Province; Nathalie Thiriet; Patricia Janak; Youna Vandaele
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    NIH grant R01DA035943
    IRESP grant AAPSPA2021-V1-07
    Description

    This repository includes dataset and python scripts for figure and data analysis of the study "Sequence termination cues drive habit-like strategy via dopamine-mediated processes". This repository is composed of 3 folders; datasets, python scripts and python functions.

  9. d

    Comparison of dopamine release and uptake parameters across sex, species and...

    • datadryad.org
    • search.dataone.org
    • +1more
    zip
    Updated Feb 7, 2024
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    Alyssa West; Lindsey Kuiper; Sara Jones; Emily DiMarco; Monica Dawes (2024). Comparison of dopamine release and uptake parameters across sex, species and striatal subregions [Dataset]. http://doi.org/10.5061/dryad.sf7m0cgcn
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    zipAvailable download formats
    Dataset updated
    Feb 7, 2024
    Dataset provided by
    Dryad
    Authors
    Alyssa West; Lindsey Kuiper; Sara Jones; Emily DiMarco; Monica Dawes
    Time period covered
    Oct 24, 2023
    Description

    Detailed methods can be found in the manuscript.

  10. d

    Dopamine activity in the tail of the striatum, DeepLabCut and MoSeq during...

    • search.dataone.org
    Updated Nov 29, 2023
    + more versions
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    Mitsuko Watabe-Uchida; Korleki Akiti; Iku Tsutsui-Kimura; Yudi Xie; Alexander Mathis; Jeffrey Markowitz; Rockwell Anyoha; Sandeep Robert Datta; Mackenzie Weygandt Mathis; Naoshige Uchida (2023). Dopamine activity in the tail of the striatum, DeepLabCut and MoSeq during novel object exploration [Dataset]. http://doi.org/10.5061/dryad.41ns1rnh2
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    Dataset updated
    Nov 29, 2023
    Dataset provided by
    Dryad Digital Repository
    Authors
    Mitsuko Watabe-Uchida; Korleki Akiti; Iku Tsutsui-Kimura; Yudi Xie; Alexander Mathis; Jeffrey Markowitz; Rockwell Anyoha; Sandeep Robert Datta; Mackenzie Weygandt Mathis; Naoshige Uchida
    Time period covered
    Jan 1, 2022
    Description

    In this study, we characterized dynamics of novelty exploration using multi-point tracking (DeepLabCut) and behavioral segmentation (MoSeq). Mice were habituated in an arena, and then a object was placed at the corner of the arena. We compared 4 groups of mice: one with presentation of a novel object (stimulus novelty), one with a presentation of a familiar object (contextual novelty), one with presentation of a novel object after ablation of dopamine neuorns that project to the tail of the striatum (TS), and one with presentation of a novel object after sham surgery. With a separate group of mice, dopamine activity in TS was recorded during novelty exploration.

  11. N

    Data from: Mesolimbic dopamine D2 receptors and neural representations of...

    • neurovault.org
    zip
    Updated Dec 27, 2019
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    (2019). Mesolimbic dopamine D2 receptors and neural representations of subjective value [Dataset]. http://identifiers.org/neurovault.collection:3756
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    zipAvailable download formats
    Dataset updated
    Dec 27, 2019
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    A collection of 4 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.

    Collection description

    22 Healthy adults underwent a PET scan with the high-affinity dopamine D2-like receptor tracer [18F]fallypride. Participants also completed a delay discounting task during an fMRI scan. A hyperbolic discounting function was used to a parametric regressor representing the subjective value of the chosen option. Ventral striatum dopamine D2 receptor availability was correlated with subjective value parameter estimates.

  12. Data from: Dopaminergic neurons in the brain and dopaminergic innervation of...

    • healthdata.gov
    • data.tl.virginia.gov
    • +8more
    csv, xlsx, xml
    Updated Jul 14, 2025
    + more versions
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    (2025). Dopaminergic neurons in the brain and dopaminergic innervation of the albumen gland in mated and virgin helisoma duryi (mollusca: pulmonata) [Dataset]. https://healthdata.gov/NIH/Dopaminergic-neurons-in-the-brain-and-dopaminergic/ji5s-qf8s
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Jul 14, 2025
    Description

    Background Dopamine was shown to stimulate the perivitelline fluid secretion by the albumen gland. Even though the albumen gland has been shown to contain catecholaminergic fibers and its innervation has been studied, the type of catecholamines, distribution of fibers and the precise source of this neural innervation has not yet been deduced. This study was designed to address these issues and examine the correlation between dopamine concentration and the sexual status of snails.

       Results
       Dopaminergic neurons were found in all ganglia except the pleural and right parietal, and their axons in all ganglia and major nerves of the brain. In the albumen gland dopaminergic axons formed a nerve tract in the central region, and a uniform net in other areas. Neuronal cell bodies were present in the vicinity of the axons. Dopamine was a major catecholamine in the brain and the albumen gland. No significant difference in dopamine quantity was found when the brain and the albumen gland of randomly mating, virgin and first time mated snails were compared.
    
    
       Conclusions
       Our results represent the first detailed studies regarding the catecholamine innervation and quantitation of neurotransmitters in the albumen gland. In this study we localized catecholaminergic neurons and axons in the albumen gland and the brain, identified these neurons and axons as dopaminergic, reported monoamines present in the albumen gland and the brain, and compared the dopamine content in the brain and the albumen gland of randomly mating, virgin and first time mated snails.
    
  13. d

    Data from: Effect of altered production and storage of dopamine on...

    • datadryad.org
    • datasetcatalog.nlm.nih.gov
    • +1more
    zip
    Updated Aug 31, 2024
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    Meghan Bucher; Irene Lee; Ava Knickerbocker; Charlotte Depew; Elizabeth Martin; Jocelyn Dicent; Gary Miller (2024). Effect of altered production and storage of dopamine on development and behavior in C. elegans [Dataset]. http://doi.org/10.5061/dryad.hhmgqnkpf
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    zipAvailable download formats
    Dataset updated
    Aug 31, 2024
    Dataset provided by
    Dryad
    Authors
    Meghan Bucher; Irene Lee; Ava Knickerbocker; Charlotte Depew; Elizabeth Martin; Jocelyn Dicent; Gary Miller
    Time period covered
    Jan 22, 2024
    Description

    Effect of altered production and storage of dopamine on development and behavior in C. elegans

    https://doi.org/10.5061/dryad.hhmgqnkpf

    This dataset contains the raw data corresponding to the manuscript "Effect of altered production and storage of dopamine on development and behavior in C. elegans." The data presented here was in effort to understand and characterize the role of dopamine neurotransmission in C. elegans development utilizing genetic models. A novel strain was generated that lacks the protein cat-1, which is responsible for vesicular sequestration of dopamine, and over-expresses the gene cat-2, which is responsible for dopamine synthesis. Thus, this novel strain (MBIA) has compounded effects on the amount of cytosolic dopamine. We characterized this strain, the parent strains used to generate MBIA, and wild-type C. elegans to determine what role dopamine synthesis and sequestration has on body size, development through lar...

  14. Datasets of our collected dopamine receptor multi-subtype ligands.

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Jingxian Zhang; Bucong Han; Xiaona Wei; Chunyan Tan; Yuzong Chen; Yuyang Jiang (2023). Datasets of our collected dopamine receptor multi-subtype ligands. [Dataset]. http://doi.org/10.1371/journal.pone.0039076.t003
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jingxian Zhang; Bucong Han; Xiaona Wei; Chunyan Tan; Yuzong Chen; Yuyang Jiang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Four groups of this dataset were used as negative samples for testing subtype selectivity of our developed multi-label machine learning models.

  15. e

    Regional and laminar distribution of dopamine receptors and uptake sites in...

    • search.kg.ebrains.eu
    Updated Oct 9, 2023
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    Ling Zhao; Maja A Puchades; Karl Zilles; Nicola Palomero-Gallagher (2023). Regional and laminar distribution of dopamine receptors and uptake sites in the rat brain [Dataset]. http://doi.org/10.25493/5Z1Y-TNB
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    Dataset updated
    Oct 9, 2023
    Authors
    Ling Zhao; Maja A Puchades; Karl Zilles; Nicola Palomero-Gallagher
    Description

    The present dataset provides the quantitative regional and laminar distribution of key molecules in signal transfer, namely the dopamine receptors D1 and D2, as well as the dopamine uptake sites in five selected rostrocaudal levels of the rat brain. The receptors were visualized by means of quantitative in vitro receptor autoradiography and the selective tritiated ligands SCH 23390, racloprid and mazindol. The high spatial resolution of this method enables quantification of receptor densities in anatomically identifiable cortical structures as detailed as the hippocampal regions and layers, or subcortical structures such as amygdalar nuclei. We also provide information about image data registration to the Waxholm Sprague Dawley rat brain atlas.

  16. Dopamine_th Dataset

    • universe.roboflow.com
    zip
    Updated Nov 19, 2021
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    yunusalikurt7@gmail.com (2021). Dopamine_th Dataset [Dataset]. https://universe.roboflow.com/yunusalikurt7-gmail-com/dopamine_th
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    zipAvailable download formats
    Dataset updated
    Nov 19, 2021
    Dataset provided by
    Gmailhttps://www.gmail.com/
    Authors
    yunusalikurt7@gmail.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Th Bounding Boxes
    Description

    Here are a few use cases for this project:

    The provided information seems to be insufficient to provide detailed use-cases. The model name, "dopamine_th" implies a possible connection to neurobiology, specifically, to dopamine neurotransmitters. Yet, the "th classes including th" part is unclear, as "th" is not a known term in either computer vision, biology, or bioinformatics domain. It might be a reference to certain classes in your data set, but without further context or clarification, it's challenging to provide accurate use cases. The image of a grey background also doesn't provide significant context. Could you please provide further details concerning this "th" term and more context related to the computer vision model?

  17. f

    Table_2_No Influence of Dopamine System Gene Variations on Acute Effects of...

    • figshare.com
    xlsx
    Updated Jun 1, 2023
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    Patrick Vizeli; Matthias E. Liechti (2023). Table_2_No Influence of Dopamine System Gene Variations on Acute Effects of MDMA.xlsx [Dataset]. http://doi.org/10.3389/fpsyt.2019.00755.s003
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Patrick Vizeli; Matthias E. Liechti
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    3,4-Methylenedioxymethamphetamine (MDMA, ecstasy) is a recreational substance also investigated as medication for posttraumatic stress disorder. Dopamine (DA) system stimulation likely contributes to the acute mood effects of amphetamines, including MDMA. Genetic variants, such as single-nucleotide polymorphisms (SNPs), and polymorphic regions of the DA system genes may in part explain interindividual differences in the acute responses to MDMA in humans. We characterized the effects of common genetic variants within genes coding for key players in the DA system including the dopamine D2 receptor (DRD2/ANKK1 rs1800497, DRD2 rs6277, and rs107959), the dopamine transporter (DAT1 rs28363170, rs3836790, rs6347, rs11133767, rs11564774, rs460000, and rs463379), and dopamine D4 receptor [DRD4, variable-number tandem repeat (VNTR)] on the subjective and autonomic response to MDMA (125 mg) in pooled data from randomized, placebo-controlled, crossover studies in a total of 149 healthy subjects. Plasma concentrations of MDMA were used as covariate in the analysis to control for individual pharmacokinetic (metabolic and weight) differences. None of the tested genetic polymorphisms within the DA system altered effects of MDMA when adjusting for multiple comparisons. Genetic variations in genes coding for players of the DA system are unlikely to explain interindividual variations in the acute effects of MDMA in humans.

  18. Data from: S1 Dataset -

    • plos.figshare.com
    bin
    Updated Aug 18, 2023
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    Miguel A. Zamora-Ursulo; Job Perez-Becerra; Luis A. Tellez; Nadia Saderi; Luis Carrillo-Reid (2023). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0290317.s009
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    binAvailable download formats
    Dataset updated
    Aug 18, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Miguel A. Zamora-Ursulo; Job Perez-Becerra; Luis A. Tellez; Nadia Saderi; Luis Carrillo-Reid
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Motor deficits observed in Parkinson’s disease (PD) are caused by the loss of dopaminergic neurons and the subsequent dopamine depletion in different brain areas. The most common therapy to treat motor symptoms for patients with this disorder is the systemic intake of L-DOPA that increases dopamine levels in all the brain, making it difficult to discern the main locus of dopaminergic action in the alleviation of motor control. Caged compounds are molecules with the ability to release neuromodulators locally in temporary controlled conditions using light. In the present study, we measured the turning behavior of unilateral dopamine-depleted mice before and after dopamine uncaging. The optical delivery of dopamine in the striatum of lesioned mice produced contralateral turning behavior that resembled, to a lesser extent, the contralateral turning behavior evoked by a systemic injection of apomorphine. Contralateral turning behavior induced by dopamine uncaging was temporarily tied to the transient elevation of dopamine concentration and was reversed when dopamine decreased to pathological levels. Remarkably, contralateral turning behavior was tuned by changing the power and frequency of light stimulation, opening the possibility to modulate dopamine fluctuations using different light stimulation protocols. Moreover, striatal dopamine uncaging recapitulated the motor effects of a low concentration of systemic L-DOPA, but with better temporal control of dopamine levels. Finally, dopamine uncaging reduced the pathological synchronization of striatal neuronal ensembles that characterize unilateral dopamine-depleted mice. We conclude that optical delivery of dopamine in the striatum resembles the motor effects induced by systemic injection of dopaminergic agonists in unilateral dopamine-depleted mice. Future experiments using this approach could help to elucidate the role of dopamine in different brain nuclei in normal and pathological conditions.

  19. F

    Data from: S1 Dataset -

    • datasetcatalog.nlm.nih.gov
    Updated Aug 18, 2023
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    Zamora-Ursulo, Miguel A.; Perez-Becerra, Job; Tellez, Luis A.; Saderi, Nadia; Carrillo-Reid, Luis (2023). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0290317.s009
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    Dataset updated
    Aug 18, 2023
    Authors
    Zamora-Ursulo, Miguel A.; Perez-Becerra, Job; Tellez, Luis A.; Saderi, Nadia; Carrillo-Reid, Luis
    Description

    Motor deficits observed in Parkinson’s disease (PD) are caused by the loss of dopaminergic neurons and the subsequent dopamine depletion in different brain areas. The most common therapy to treat motor symptoms for patients with this disorder is the systemic intake of L-DOPA that increases dopamine levels in all the brain, making it difficult to discern the main locus of dopaminergic action in the alleviation of motor control. Caged compounds are molecules with the ability to release neuromodulators locally in temporary controlled conditions using light. In the present study, we measured the turning behavior of unilateral dopamine-depleted mice before and after dopamine uncaging. The optical delivery of dopamine in the striatum of lesioned mice produced contralateral turning behavior that resembled, to a lesser extent, the contralateral turning behavior evoked by a systemic injection of apomorphine. Contralateral turning behavior induced by dopamine uncaging was temporarily tied to the transient elevation of dopamine concentration and was reversed when dopamine decreased to pathological levels. Remarkably, contralateral turning behavior was tuned by changing the power and frequency of light stimulation, opening the possibility to modulate dopamine fluctuations using different light stimulation protocols. Moreover, striatal dopamine uncaging recapitulated the motor effects of a low concentration of systemic L-DOPA, but with better temporal control of dopamine levels. Finally, dopamine uncaging reduced the pathological synchronization of striatal neuronal ensembles that characterize unilateral dopamine-depleted mice. We conclude that optical delivery of dopamine in the striatum resembles the motor effects induced by systemic injection of dopaminergic agonists in unilateral dopamine-depleted mice. Future experiments using this approach could help to elucidate the role of dopamine in different brain nuclei in normal and pathological conditions.

  20. B

    Dopamine D2 Receptor Antagonists Evidence Dataset — BiohacksAI

    • biohacksai.com
    Updated Jul 20, 2026
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    Organiq Sweden AB (2026). Dopamine D2 Receptor Antagonists Evidence Dataset — BiohacksAI [Dataset]. https://biohacksai.com/substance/dopamine_d2_receptor_antagonists
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    Dataset updated
    Jul 20, 2026
    Dataset authored and provided by
    Organiq Sweden AB
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Variables measured
    RCT Count, Evidence Score, Domain Relevance, Human Study Ratio, Research Velocity
    Description

    Corpus-verified analysis of 149 PubMed studies on Dopamine D2 Receptor Antagonists. Includes evidence scores, research domain classification, study type breakdown, and velocity metrics.

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Bhawakshi (2024). pEC50 prediction - dopamine receptor [Dataset]. https://www.kaggle.com/datasets/bhawakshi/pec50-prediction-dopamine-receptor
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pEC50 prediction - dopamine receptor

Dopamine receptor ligands with molecular and assay descriptors

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zip(137658 bytes)Available download formats
Dataset updated
Nov 24, 2024
Authors
Bhawakshi
License

Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically

Description

This dataset was curated from the ChEMBL database and further enriched with RDKit-calculated molecular properties. It serves as a valuable resource for cheminformatics and machine learning tasks, particularly in drug-target interaction studies.

The dataset comprises around 3000 instances, each representing a unique molecule and its interaction with dopamine receptors. The key features include:

  • ChEMBL ID and SMILES: Molecular identifiers and structure information.
  • Experimental Data: EC50 values (nM), pEC50 values (log-transformed potency measure).
  • Assay Type and Target Name: Experimental context and receptor subtype targeted - D1, D2, D3, D4 and D5.
  • Molecular Descriptors:
  • MW: Molecular Weight of the molecule in Da.
  • LogP (Lipophilicity): Indicating hydrophobicity.
  • H_Donors and H_Acceptors: Indicators of hydrogen bonding capacity.
  • TPSA (Topological Polar Surface Area): Important for bioavailability.
  • Ring_Count and Rotatable_Bonds: Measures of molecular complexity.
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