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  • DescribePROT: Database of amino acid-level protein structure and function predictions

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    Accepted Manuscript (AM)
    Author(s)
    Zhao, B
    Katuwawala, A
    Oldfield, CJ
    Dunker, AK
    Faraggi, E
    Gsponer, J
    Kloczkowski, A
    Malhis, N
    Mirdita, M
    Obradovic, Z
    Söding, J
    Steinegger, M
    Zhou, Y
    Kurgan, L
    Griffith University Author(s)
    Zhou, Yaoqi
    Year published
    2021
    Metadata
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    Abstract
    We present DescribePROT, the database of predicted amino acid-level descriptors of structure and function of proteins. DescribePROT delivers a comprehensive collection of 13 complementary descriptors predicted using 10 popular and accurate algorithms for 83 complete proteomes that cover key model organisms. The current version includes 7.8 billion predictions for close to 600 million amino acids in 1.4 million proteins. The descriptors encompass sequence conservation, position specific scoring matrix, secondary structure, solvent accessibility, intrinsic disorder, disordered linkers, signal peptides, MoRFs and interactions ...
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    We present DescribePROT, the database of predicted amino acid-level descriptors of structure and function of proteins. DescribePROT delivers a comprehensive collection of 13 complementary descriptors predicted using 10 popular and accurate algorithms for 83 complete proteomes that cover key model organisms. The current version includes 7.8 billion predictions for close to 600 million amino acids in 1.4 million proteins. The descriptors encompass sequence conservation, position specific scoring matrix, secondary structure, solvent accessibility, intrinsic disorder, disordered linkers, signal peptides, MoRFs and interactions with proteins, DNA and RNAs. Users can search DescribePROT by the amino acid sequence and the UniProt accession number and entry name. The pre-computed results are made available instantaneously. The predictions can be accesses via an interactive graphical interface that allows simultaneous analysis of multiple descriptors and can be also downloaded in structured formats at the protein, proteome and whole database scale. The putative annotations included by DescriPROT are useful for a broad range of studies, including: investigations of protein function, applied projects focusing on therapeutics and diseases, and in the development of predictors for other protein sequence descriptors. Future releases will expand the coverage of DescribePROT. DescribePROT can be accessed at http://biomine.cs.vcu.edu/servers/DESCRIBEPROT/.
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    Journal Title
    Nucleic Acids Research
    Volume
    49
    Issue
    D1
    DOI
    https://doi.org/10.1093/nar/gkaa931
    Copyright Statement
    © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
    Subject
    Environmental Sciences
    Biological Sciences
    Information and Computing Sciences
    Publication URI
    http://hdl.handle.net/10072/402121
    Collection
    • Journal articles

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