5 datasets found
  1. Z

    AbDb processed and pickled for use in deep learning CDR-H3 Structure...

    • data-staging.niaid.nih.gov
    • data.niaid.nih.gov
    Updated Jan 24, 2020
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    Blundell, Benjamin; Martin, Andrew (2020). AbDb processed and pickled for use in deep learning CDR-H3 Structure prediction [Dataset]. https://data-staging.niaid.nih.gov/resources?id=zenodo_2560435
    Explore at:
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    King's College London
    University College London
    Authors
    Blundell, Benjamin; Martin, Andrew
    License

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

    Description

    This is a pickle file, ready for training by the neural network described in "Improving CDR-H3 modelling in Antibodies" found at the following URL:

    https://github.com/OniDaito/MRes

    The data is derived from the AbDb dataset found at:

    http://www.bioinf.org.uk/abs/abdb/

  2. g

    eu_df55d864-17a3-4647-abdb-5377ba446092_1 | gimi9.com

    • gimi9.com
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    eu_df55d864-17a3-4647-abdb-5377ba446092_1 | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_df55d864-17a3-4647-abdb-5377ba446092_1/
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    License

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

    Description

    This training survey in Geological Exploration took place on board the Marine Institute's R.V. Celtic Voyager in Cork Harbour. Three instructors delivered 6 days of training to postgraduate and undergraduate students from University College Cork (UCC) from the 24th to 29th of November 2017. These training surveys arise from a learning module in multidisciplinary offshore marine science developed by the Strategic Marine Alliance for Research and Training (SMART) in 2011 . The objective of this SMART UCC training programme was to provide offshore training for Geology and Earth and Environmental Science undergraduates and Exploration Field Geology postgraduates in offshore geoscience. Overall, the training provided practical training in: • seabed mapping techniques and practice; • seabed sampling techniques and practice; • sub-seabed imaging techniques and practice; • offshore geological data collection; • evaluation of resource and resource assessment.

  3. R

    Raw data from external antibody databases and scripts to homogenize and...

    • entrepot.recherche.data.gouv.fr
    application/x-gzip +1
    Updated Feb 4, 2025
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    Nicolas MAILLET; Nicolas MAILLET; Simon MALESYS; Simon MALESYS (2025). Raw data from external antibody databases and scripts to homogenize and standardize them used to build AntiBody Sequence Database (for reproducibility) [Dataset]. http://doi.org/10.57745/DDLHWU
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    application/x-gzip(620431), application/x-gzip(163643), application/x-gzip(6833391387), text/markdown(12475), application/x-gzip(80726198), application/x-gzip(65497009)Available download formats
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Recherche Data Gouv
    Authors
    Nicolas MAILLET; Nicolas MAILLET; Simon MALESYS; Simon MALESYS
    License

    https://entrepot.recherche.data.gouv.fr/api/datasets/:persistentId/versions/3.1/customlicense?persistentId=doi:10.57745/DDLHWUhttps://entrepot.recherche.data.gouv.fr/api/datasets/:persistentId/versions/3.1/customlicense?persistentId=doi:10.57745/DDLHWU

    Description

    Reproducibility data for the AntiBody Sequence Database (ABSD) article. This dataset contains the raw data (antibody sequences) extracted on June 20, 2024, from various databases, as well as the several scripts, to ensure the reproducibility of our results. External databases used: ABDB, AbPDB, CoV-AbDab, Genbank, IMGT, PDB, SACS, SAbDab, TheraSAbDab, UniProt, KABAT Scripts usage: each external database has a corresponding script to format all antibody sequences extracted from it. A last script enable merging all extracted antibody sequences while removing redundancy, standardizing and cleaning data.

  4. FBIP: IZIKO Marine Bony Fish (1884-2013)

    • gbif.org
    • demo.gbif.org
    Updated Oct 7, 2019
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    Albe Bosman; Albe Bosman (2019). FBIP: IZIKO Marine Bony Fish (1884-2013) [Dataset]. http://doi.org/10.15468/rnpcwh
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    Dataset updated
    Oct 7, 2019
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    South African National Biodiversity Institute
    Authors
    Albe Bosman; Albe Bosman
    License

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

    Area covered
    Description

    The Iziko South African Museum has a comprehensive holdings comprising of identified bony and cartilaginous fish, mostly from Cape waters, but extending to Angola and Mozambique and the Southern, Indian and Atlantic Oceans

  5. t

    BIOGRID CURATED DATA FOR PUBLICATION: The Hox gene Abdominal-B uses...

    • thebiogrid.org
    zip
    Updated Dec 22, 2018
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    BioGRID Project (2018). BIOGRID CURATED DATA FOR PUBLICATION: The Hox gene Abdominal-B uses DoublesexF as a cofactor to promote neuroblast apoptosis in the Drosophila central nervous system. [Dataset]. https://thebiogrid.org/225716/publication/the-hox-gene-abdominal-b-uses-doublesexf-as-a-cofactor-to-promote-neuroblast-apoptosis-in-the-drosophila-central-nervous-system.html
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    zipAvailable download formats
    Dataset updated
    Dec 22, 2018
    Dataset authored and provided by
    BioGRID Project
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Protein-Protein, Genetic, and Chemical Interactions for Ghosh N (2019):The Hox gene Abdominal-B uses DoublesexF as a cofactor to promote neuroblast apoptosis in the Drosophila central nervous system. curated by BioGRID (https://thebiogrid.org); ABSTRACT: Highly conserved DM domain-containing transcription factors (Doublesex/MAB-3/DMRT1) are responsible for generating sexually dimorphic features. In the Drosophila central nervous system, a set of Doublesex (Dsx)-expressing neuroblasts undergo apoptosis in females whereas their male counterparts proliferate and give rise to serotonergic neurons crucial for adult mating behaviour. Our study demonstrates that the female-specific isoform of Dsx collaborates with Hox gene Abdominal-B (Abd-B) to bring about this apoptosis. Biochemical results suggest that proteins AbdB and Dsx interact through their highly conserved homeodomain and DM domain, respectively. This interaction is translated into a cooperative binding of the two proteins on the apoptotic enhancer in the case of females but not in the case of males, resulting in female-specific activation of apoptotic genes. The capacity of AbdB to use the sex-specific isoform of Dsx as a cofactor underlines the possibility that these two classes of protein are capable of cooperating in selection and regulation of target genes in a tissue- and sex-specific manner. We propose that this interaction could be a common theme in generating sexual dimorphism in different tissues across different species.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Blundell, Benjamin; Martin, Andrew (2020). AbDb processed and pickled for use in deep learning CDR-H3 Structure prediction [Dataset]. https://data-staging.niaid.nih.gov/resources?id=zenodo_2560435

AbDb processed and pickled for use in deep learning CDR-H3 Structure prediction

Explore at:
Dataset updated
Jan 24, 2020
Dataset provided by
King's College London
University College London
Authors
Blundell, Benjamin; Martin, Andrew
License

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

Description

This is a pickle file, ready for training by the neural network described in "Improving CDR-H3 modelling in Antibodies" found at the following URL:

https://github.com/OniDaito/MRes

The data is derived from the AbDb dataset found at:

http://www.bioinf.org.uk/abs/abdb/

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