Mechanistic role of plant-based bitter principles and bitterness prediction for natural product studies II: prediction tools and case studies

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F19%3A43919271" target="_blank" >RIV/60461373:22310/19:43919271 - isvavai.cz</a>
Result on the web
<a href="https://www.degruyter.com/view/j/psr.2019.4.issue-8/psr-2019-0007/psr-2019-0007.xml?lang=en" target="_blank" >https://www.degruyter.com/view/j/psr.2019.4.issue-8/psr-2019-0007/psr-2019-0007.xml?lang=en</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/psr-2019-0007" target="_blank" >10.1515/psr-2019-0007</a>

Result language
angličtina
Original language name
Mechanistic role of plant-based bitter principles and bitterness prediction for natural product studies II: prediction tools and case studies
Original language description
The first part of this chapter provides an overview of computer-based tools (algorithms, web servers, and software) for the prediction of bitterness in compounds. These tools all implement machine learning (ML) methods and are all freely accessible. For each tool, a brief description of the implemented method is provided, along with the training sets and the benchmarking results. In the second part, an attempt has been made to explain at the mechanistic level why some medicinal plants are bitter and how plants use bitter natural compounds, obtained through the biosynthetic process as important ingredients for adapting to the environment. A further exploration is made on the role of bitter natural products in the defense mechanism of plants against insect pest, herbivores, and other invaders. Case studies have focused on alkaloids, terpenoids, cyanogenic glucosides and phenolic derivatives.
Czech name
—
Czech description
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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

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)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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