Structure–reactivity modeling using mixture-based representation of chemical reactions
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F17%3A73585002" target="_blank" >RIV/61989592:15110/17:73585002 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/article/10.1007%2Fs00018-017-2574-1" target="_blank" >https://link.springer.com/article/10.1007%2Fs00018-017-2574-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10822-017-0044-3" target="_blank" >10.1007/s10822-017-0044-3</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Structure–reactivity modeling using mixture-based representation of chemical reactions
Popis výsledku v původním jazyce
We describe a novel approach of reaction representation as a combination of two mixtures: a mixture of reactants and a mixture of products. In turn, each mixture can be encoded using an earlier reported approach involving simplex descriptors (SiRMS). The feature vector representing these two mixtures results from either concatenated product and reactant descriptors or the difference between descriptors of products and reactants. This reaction representation doesn't need an explicit labeling of a reaction center. The rigorous "product-out" cross-validation (CV) strategy has been suggested. Unlike the na < ve "reaction-out" CV approach based on a random selection of items, the proposed one provides with more realistic estimation of prediction accuracy for reactions resulting in novel products. The new methodology has been applied to model rate constants of E2 reactions. It has been demonstrated that the use of the fragment control domain applicability approach significantly increases prediction accuracy of the models. The models obtained with new "mixture" approach performed better than those required either explicit (Condensed Graph of Reaction) or implicit (reaction fingerprints) reaction center labeling.
Název v anglickém jazyce
Structure–reactivity modeling using mixture-based representation of chemical reactions
Popis výsledku anglicky
We describe a novel approach of reaction representation as a combination of two mixtures: a mixture of reactants and a mixture of products. In turn, each mixture can be encoded using an earlier reported approach involving simplex descriptors (SiRMS). The feature vector representing these two mixtures results from either concatenated product and reactant descriptors or the difference between descriptors of products and reactants. This reaction representation doesn't need an explicit labeling of a reaction center. The rigorous "product-out" cross-validation (CV) strategy has been suggested. Unlike the na < ve "reaction-out" CV approach based on a random selection of items, the proposed one provides with more realistic estimation of prediction accuracy for reactions resulting in novel products. The new methodology has been applied to model rate constants of E2 reactions. It has been demonstrated that the use of the fragment control domain applicability approach significantly increases prediction accuracy of the models. The models obtained with new "mixture" approach performed better than those required either explicit (Condensed Graph of Reaction) or implicit (reaction fingerprints) reaction center labeling.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10608 - Biochemistry and molecular biology
Návaznosti výsledku
Projekt
—
Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Computer-Aided Molecular Design
ISSN
0920-654X
e-ISSN
—
Svazek periodika
31
Číslo periodika v rámci svazku
9
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
11
Strana od-do
829-839
Kód UT WoS článku
000412668900005
EID výsledku v databázi Scopus
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