scholarly journals Effects of an Imposed Flow on Chemical Oscillations Generated by Enzymatic Reactions

2020 ◽  
Vol 8 ◽  
Author(s):  
Oleg E. Shklyaev ◽  
Victor V. Yashin ◽  
Anna C. Balazs
2007 ◽  
Vol 1 (4) ◽  
pp. 323-326 ◽  
Author(s):  
A. Zhabotinsky ◽  
F. Rossi

2019 ◽  
Author(s):  
Anja Knorrscheidt ◽  
Pascal Püllmann ◽  
Eugen Schell ◽  
Dominik Homann ◽  
Erik Freier ◽  
...  

Directed evolution requires the screening of enzyme libraries in biological matrices. Available assays are mostly substrate or enzyme specific. Chromatographic techniques like LC and GC overcome this limitation, but require long analysis times. The herein developed multiple injections in a single experimental run (MISER) using GC coupled to MS allows the injection of samples every 33 s resulting in 96-well microtiter plate analysis within 50 min. This technique is implementable in any GC-MS system with autosampling. Since the GC-MS is far less prone to ion suppression than LCMS, no chromatographic separation is required. This allows the utilisation of an internal standards and the detection of main and side-product. To prove the feasibility of the system in enzyme screening, two libraries were assessed: i) YfeX library in an E. coli whole cell system for the carbene-transfer reaction on indole revealing the novel axial ligand tryptophan, ii) a library of 616 chimeras of fungal unspecific peroxygenase (UPO) in S. cerevisiae supernatant for hydroxylation of tetralin resulting in novel constructs. The data quality and representation are automatically assessed by a new R-script.


2017 ◽  
Vol 68 (9) ◽  
pp. 2196-2203 ◽  
Author(s):  
Mara Crisan ◽  
Gheorghe Maria

Novel coupled enzymatic systems reported important applications in the industrial bio-catalysis. Multi-enzymatic reactions can successfully replace complex chemical syntheses, using milder reaction conditions, and generating less waste. For such systems acting simultaneously, the model-based engineering calculations (design, reactor operation optimization) are difficult tasks, because they must account for interacting reactions, differences in enzymes optimal activity domains and deactivation kinetics. The determination of the optimal operating mode (enzyme ratios, enzyme feeding policy, temperature, pH) often turns into a difficult multi-objective optimization problem with multiple constraints to be solved for every particular system. The paper focuses on applying a modular screening procedure that can identify the optimal operating policy of an enzymatic reactor, which minimizes the enzyme consumption, given the process kinetic model, and an imposed production capacity. Following an optimization procedure, the process effectiveness is evaluated in a systematic approach, by including simple batch reactor (BR), batch with intermittent addition of the key-enzyme following certain optimal policies (BRP). Exemplification is made for the case of the enzymatic reduction of D-fructose to mannitol by using suspended MDH (mannitol dehydrogenase) and NADH (Nicotinamide adenine dinucleotide) cofactor, with the in-situ continuous regeneration of the cofactor by the expense of formate degradation in the presence of suspended FDH (Formate dehydrogenase).


2016 ◽  
Vol 20 (14) ◽  
pp. 1456-1464 ◽  
Author(s):  
Zijie Li ◽  
Xiao-Dong Gao ◽  
Li Cai
Keyword(s):  

1987 ◽  
Vol 52 (10) ◽  
pp. 2375-2382 ◽  
Author(s):  
Ľubica Adamčíková ◽  
Peter Ševčík

Glycerol causes chemical oscillations in Belousov-Zhabotinskii reaction in a closed system as well as in a reaction solution bubbled with nitrogen. Since the oxidation of glycerol with bromate ions does not proceed autocatalytically and bromine in the oxidation state 0 or +1 in the absence of light does not react with glycerol, hydrolysis of bromine is the probable source of bromide ions in the studied oscillation system.


2021 ◽  
Vol 22 (14) ◽  
pp. 7390
Author(s):  
Nicole Wesch ◽  
Frank Löhr ◽  
Natalia Rogova ◽  
Volker Dötsch ◽  
Vladimir V. Rogov

Ubiquitin fold modifier 1 (UFM1) is a member of the ubiquitin-like protein family. UFM1 undergoes a cascade of enzymatic reactions including activation by UBA5 (E1), transfer to UFC1 (E2) and selective conjugation to a number of target proteins via UFL1 (E3) enzymes. Despite the importance of ufmylation in a variety of cellular processes and its role in the pathogenicity of many human diseases, the molecular mechanisms of the ufmylation cascade remains unclear. In this study we focused on the biophysical and biochemical characterization of the interaction between UBA5 and UFC1. We explored the hypothesis that the unstructured C-terminal region of UBA5 serves as a regulatory region, controlling cellular localization of the elements of the ufmylation cascade and effective interaction between them. We found that the last 20 residues in UBA5 are pivotal for binding to UFC1 and can accelerate the transfer of UFM1 to UFC1. We solved the structure of a complex of UFC1 and a peptide spanning the last 20 residues of UBA5 by NMR spectroscopy. This structure in combination with additional NMR titration and isothermal titration calorimetry experiments revealed the mechanism of interaction and confirmed the importance of the C-terminal unstructured region in UBA5 for the ufmylation cascade.


2021 ◽  
pp. 2000605
Author(s):  
Yeji Kim ◽  
Jae Yong Ryu ◽  
Hyun Uk Kim ◽  
Woo Dae Jang ◽  
Sang Yup Lee

Metabolites ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 336
Author(s):  
Boštjan Murovec ◽  
Leon Deutsch ◽  
Blaž Stres

General Unified Microbiome Profiling Pipeline (GUMPP) was developed for large scale, streamlined and reproducible analysis of bacterial 16S rRNA data and prediction of microbial metagenomes, enzymatic reactions and metabolic pathways from amplicon data. GUMPP workflow introduces reproducible data analyses at each of the three levels of resolution (genus; operational taxonomic units (OTUs); amplicon sequence variants (ASVs)). The ability to support reproducible analyses enables production of datasets that ultimately identify the biochemical pathways characteristic of disease pathology. These datasets coupled to biostatistics and mathematical approaches of machine learning can play a significant role in extraction of truly significant and meaningful information from a wide set of 16S rRNA datasets. The adoption of GUMPP in the gut-microbiota related research enables focusing on the generation of novel biomarkers that can lead to the development of mechanistic hypotheses applicable to the development of novel therapies in personalized medicine.


2021 ◽  
Vol 143 (15) ◽  
pp. 5709-5716
Author(s):  
Michael Teders ◽  
Aleksandr A. Pogodaev ◽  
Glenn Bojanov ◽  
Wilhelm T. S. Huck
Keyword(s):  

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