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QSAR of antimycobacterial activity of benzoxazoles by optimal SMILES-based descriptors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F17%3A10367482" target="_blank" >RIV/00216208:11310/17:10367482 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s00044-017-2013-8" target="_blank" >http://dx.doi.org/10.1007/s00044-017-2013-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00044-017-2013-8" target="_blank" >10.1007/s00044-017-2013-8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    QSAR of antimycobacterial activity of benzoxazoles by optimal SMILES-based descriptors

  • Original language description

    The CORAL software based on the optimal descriptors calculated with simplified molecular input-line entry system was used to build up quantitatively structure-activity relationship for the minimal inhibition concentrations against (i) Mycobacterium tuberculosis H37RV ATCC 27294 and (ii) M. tuberculosis drug resistant clinical isolate. The predictive potential of these models has been checked up with three random splits into the training, calibration, and validation sets. Although all models are quantitative, it has been found that splitting have apparent influence on the statistical quality of these models. Thus, the thesis &quot;QSAR is a random event&quot; is confirmed in this work.

  • 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

    10406 - Analytical chemistry

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Medicinal Chemistry Research

  • ISSN

    1054-2523

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    6

  • Pages from-to

    3203-3208

  • UT code for WoS article

    000414767200010

  • EID of the result in the Scopus database

    2-s2.0-85027835894