Mechanism-Based Discovery of Novel Substrates of Haloalkane Dehalogenases using in Silico Screening
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F15%3A00081404" target="_blank" >RIV/00216224:14310/15:00081404 - isvavai.cz</a>
Výsledek na webu
<a href="http://loschmidt.chemi.muni.cz/peg/wp-content/uploads/2015/01/jcim15.pdf" target="_blank" >http://loschmidt.chemi.muni.cz/peg/wp-content/uploads/2015/01/jcim15.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1021/ci500486y" target="_blank" >10.1021/ci500486y</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Mechanism-Based Discovery of Novel Substrates of Haloalkane Dehalogenases using in Silico Screening
Popis výsledku v původním jazyce
The substrate specificity is a key feature of enzymes determining their applicability in biomaterials and biotechnologies. Experimental testing of activities with novel substrates is a time-consuming and inefficient process, typically resulting in many failures. Here, we present an experimentally validated in silico method for the discovery of novel substrates of enzymes with known reaction mechanism. The method was developed for a model system of biotechnologically relevant enzymes, haloalkane dehalogenases. Based on the parameterization of six different haloalkane dehalogenases with 30 halogenated substrates, mechanism-based geometric criteria for reactivity approximation were defined. These criteria were subsequently applied to the previously experimentally uncharacterized haloalkane dehalogenase DmmA. The enzyme was computationally screened against 42,000 compounds, yielding 548 structurally unique compounds as potential substrates.
Název v anglickém jazyce
Mechanism-Based Discovery of Novel Substrates of Haloalkane Dehalogenases using in Silico Screening
Popis výsledku anglicky
The substrate specificity is a key feature of enzymes determining their applicability in biomaterials and biotechnologies. Experimental testing of activities with novel substrates is a time-consuming and inefficient process, typically resulting in many failures. Here, we present an experimentally validated in silico method for the discovery of novel substrates of enzymes with known reaction mechanism. The method was developed for a model system of biotechnologically relevant enzymes, haloalkane dehalogenases. Based on the parameterization of six different haloalkane dehalogenases with 30 halogenated substrates, mechanism-based geometric criteria for reactivity approximation were defined. These criteria were subsequently applied to the previously experimentally uncharacterized haloalkane dehalogenase DmmA. The enzyme was computationally screened against 42,000 compounds, yielding 548 structurally unique compounds as potential substrates.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
CE - Biochemie
OECD FORD obor
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Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
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 Chemical Information and Modeling
ISSN
1549-9596
e-ISSN
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Svazek periodika
55
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
9
Strana od-do
54-62
Kód UT WoS článku
000348619400005
EID výsledku v databázi Scopus
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