ASR-COMPENZDES

Active Site Repurposing – computational design of new enzyme functionalities by emulating nature

 Coordinatore UNIVERSITAET GRAZ 

 Organization address address: UNIVERSITAETSPLATZ 3
city: GRAZ
postcode: 8010

contact info
Titolo: Prof.
Nome: Karl
Cognome: Gruber
Email: send email
Telefono: +43 316 380 5483

 Nazionalità Coordinatore Austria [AT]
 Totale costo 261˙326 €
 EC contributo 261˙326 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-IOF
 Funding Scheme MC-IOF
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-02-01   -   2017-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITAET GRAZ

 Organization address address: UNIVERSITAETSPLATZ 3
city: GRAZ
postcode: 8010

contact info
Titolo: Prof.
Nome: Karl
Cognome: Gruber
Email: send email
Telefono: +43 316 380 5483

AT (GRAZ) coordinator 261˙326.40

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

natural    active    designs    reaction    efficiency    atrazine    catalytic    dechlorination    construction    computational    reactions    want    substrate    designed    enzymes    enzyme   

 Obiettivo del progetto (Objective)

'Computational enzyme design challanges our understanding of molecular enzymology and recognition and has previously been used to generate functional biocatalysts for a hand full of reactions. However, thus far all computationally designed enzymes showed low catalytic efficiency when compared to naturally occurring ones. Evolutionary, new enzyme functions are introduced into nature by amino acid sequence optimization. This is facilitated via repurposing the catalytic machinery of an existing active site from an enzyme with a specific function, for a new/different reaction. Here I propose the utilization of already characterized catalytic geometries derived from natural enzymes for computational enzyme design. Using these machineries for the design of non-natural reactions, I want to redesign mono- and dinuclear metalloenzymes for the catalysis of a nucleophilic aromatic substitution reaction. In particular, we want to design an enzyme that catalyzes the dechlorination of the herbicidal compound atrazine, which was shown to accumulate in soil and ground water and was correlated to increased risk of cancer. The project will involve the construction of a structural database exclusively comprising scaffolds of mononuclear zinc enzymes. The rmaining stages will include calculation and construction of a substrate model, which recapitulates the transition state of the reaction, the actual design calculations as well as computational and rational evaluations thereof. Subsequently, the best designs as judged from calculated energy and chemical intuition, will be experimentally tested. Two already established assays to test for atrazine dechlorination activity are available and will be used to complete this task. If necessary, directed evolution methods will be used to enhance the levels of catalytic efficiency of the designed enzymes. During the return phase, structure determination of active designs in an apo and substrate bound form will be performed.'

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