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NERDD: A web portal providing access to in silico tools for drug discovery

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F20%3A43920959" target="_blank" >RIV/60461373:22310/20:43920959 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1093/bioinformatics/btz695" target="_blank" >https://doi.org/10.1093/bioinformatics/btz695</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/bioinformatics/btz695" target="_blank" >10.1093/bioinformatics/btz695</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    NERDD: A web portal providing access to in silico tools for drug discovery

  • Original language description

    The New E-Resource for Drug Discovery (NERDD) is a quickly expanding web portal focused on the provision of peer-reviewed in silico tools for drug discovery. NERDD currently hosts tools for predicting the sites of metabolism (FAME) and metabolites (GLORY) of small organic molecules, for flagging compounds that are likely to interfere with biological assays (Hit Dexter), and for identifying natural products and natural product derivatives in large compound collections (NP-Scout). Several additional models and components are currently in development.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LM2015063" target="_blank" >LM2015063: National Infrastructure for Chemical Biology</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Bioinformatics

  • ISSN

    1367-4803

  • e-ISSN

  • Volume of the periodical

    36

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    2

  • Pages from-to

    1291-1292

  • UT code for WoS article

    000518528800051

  • EID of the result in the Scopus database

    2-s2.0-85079741469