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Mechanistic role of plant-based bitter principles and bitterness prediction for natural product studies I: Database and methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F19%3A43919270" target="_blank" >RIV/60461373:22310/19:43919270 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.degruyter.com/view/j/psr.2019.4.issue-7/psr-2018-0117/psr-2018-0117.xml" target="_blank" >https://www.degruyter.com/view/j/psr.2019.4.issue-7/psr-2018-0117/psr-2018-0117.xml</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1515/psr-2018-0117" target="_blank" >10.1515/psr-2018-0117</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mechanistic role of plant-based bitter principles and bitterness prediction for natural product studies I: Database and methods

  • Original language description

    This chapter discusses the rationale behind the bitter sensation elicited by chemical compounds, focusing on natural products. Emphasis has been placed on a brief presentation of BitterDB (the database of bitter compounds), along with available methods for the prediction of bitterness in compounds. The fundamental basis for explaining bitterness has been provided, based on the structural features of human bitter taste receptors and have been used to shed light on the mechanistic role of a few out of the 25 known human taste receptors to provide the foundation for understanding how bitter compounds interact with their receptors. Some case studies of ligand-based prediction models based on 2D fingerprints and 3D pharmacophores, along with machine learning methods have been provided. The chapter closes with an attempt to establish the relationship between bitterness and toxicity.

  • 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

    10611 - Plant sciences, botany

Result continuities

  • Project

    <a href="/en/project/EF16_027%2F0008351" target="_blank" >EF16_027/0008351: ChemJets UCT Prague</a><br>

  • Continuities

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

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Physical Sciences Reviews

  • ISSN

    2365-6581

  • e-ISSN

    2365-659X

  • Volume of the periodical

    4

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    11

  • Pages from-to

  • UT code for WoS article

    000472606200003

  • EID of the result in the Scopus database