Synthesis and microbial screening of 8‐(benzyloxy)‐5‐(2‐(1, 3‐diphenyl‐1H ‐pyrazol‐4‐yl)thiazol‐4‐yl)quinolin‐2( 1H )‐one derivatives

Author(s):  
Tukaram S. Choudhare ◽  
Devendra S. Wagare ◽  
Vijay T. Kadam ◽  
Prashant D. Netankar
Keyword(s):  
2009 ◽  
Vol 637 (1-2) ◽  
pp. 298-304 ◽  
Author(s):  
Mariël G. Pikkemaat ◽  
Michel L.B.A. Rapallini ◽  
Sabrina Oostra-van Dijk ◽  
J.W. Alexander Elferink

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yuji Aso ◽  
Mei Sano ◽  
Hikari Kuroda ◽  
Hitomi Ohara ◽  
Hiroshi Ando ◽  
...  

Abstract Here we report a novel structure-based microbial screening method for vinyl compound discovery, DISCOVER (direct screening method based on coupling reactions for vinyl compound producers). Through a two-step screening procedure based on selective coupling reactions of terminal alkenes, the thiol-ene reaction (1st step of screening) and Mizoroki-Heck reaction, followed by iodine test (2nd step of screening), microbes producing vinyl compounds like itaconic acid (IA) can be isolated from soil samples. In the 1st step of screening, soil sources are plated on agar medium supplemented with an antimicrobial agent, α-thioglycerol (TG), and a radical initiator, VA-044 (VA). In the 2nd step of screening, vinyl compounds produced in the cultures are labelled with iodobenzene via the Mizoroki-Heck reaction, followed by an iodine test, leading to the detection and characterisation of labelled products. We evaluated the validity of DISCOVER using IA and its producer Aspergillus terreus. Experimental data supported our hypothesis that IA reacts with TG in the medium via the thiol-ene reaction and consequently, A. terreus rapidly forms colonies on the agar medium because of the loss of the antimicrobial activity of TG. Using DISCOVER, high throughput and selective isolation of A. terreus strains producing IA was possible from soils.


Marine Drugs ◽  
2020 ◽  
Vol 18 (12) ◽  
pp. 649
Author(s):  
Riyanti ◽  
Michael Marner ◽  
Christoph Hartwig ◽  
Maria Patras ◽  
Stevy Wodi ◽  
...  

The discovery of novel natural products (NPs) that will serve as lead structures has to be an ongoing effort to fill the respective development pipelines. However, identification of NPs, which possess a potential for application in e.g., the pharma or agro sector, must be as cost effective and fast as possible. Furthermore, the amount of sample available for initial testing is usually very limited, not least because of the fact that the impact on the environment, i.e., the sampled biosystem, should be kept minimal. Here, our pipeline SeaPEPR is described, in which a primary bioactivity screening of crude extracts is combined with the analysis of their metabolic fingerprint. This enabled prioritization of samples for subsequent microfractionation and dereplication of the active compounds early in the workflow. As a case study, 76 marine sponge-derived extracts were screened against a microbial screening panel. Thereunder, human pathogenic bacteria (Escherichia coli ATCC35218 and Staphylococcus aureus ATCC33592) and yeast (Candida albicans FH2173), as well as the phytopathogenic fungus Septoria tritici MUCL45407. Overall, nine extracts revealed activity against at least one test organism. Metabolic fingerprinting enabled assigning four active extracts into one metabolic group; therefore, one representative was selected for subsequent microfractionation. Dereplication of the active fractions showed a new dibrominated aplysinopsin and a hypothetical chromazonarol stereoisomer derivative. Furthermore, inhibitory activity against the common plant pest Septoria tritici was discovered for NPs of marine origin.


Vox Sanguinis ◽  
1994 ◽  
Vol 67 (5) ◽  
pp. 14-19 ◽  
Author(s):  
Patricia E. Hewitt ◽  
J.A.J. Barbara ◽  
Marcela Contreras

2006 ◽  
Vol 43 (4) ◽  
pp. 1083-1089 ◽  
Author(s):  
Krunal G. Desai ◽  
Kishor R. Desai
Keyword(s):  

2020 ◽  
Vol 10 (11) ◽  
pp. 3936
Author(s):  
A. Gargantilla Becerra ◽  
R. Lahoz-Beltra

One of the most delicate stages of an evolutionary algorithm is the evaluation of the goodness of the solutions by some procedure providing a fitness value. However, although there are general rules, it is not always easy to find an appropriate evaluation function for a given problem. In the biological realm, today, there is a variety of experimental methods under the name of microbial screening to identify and select bacteria from their traits, as well as to obtain their fitness. In this paper, we show how given an optimization problem, a colony of synthetic bacteria or bacterial agents is able to evaluate the fitness of candidate solutions by building an evaluation function. The evaluation function is obtained simulating, in silico, a bacterial colony conducting the laboratory methods used in microbiology, biotechnology and synthetic biology to measure microbial fitness. Once the evaluation function is built, it is included in the code of the genetic algorithm as part of the fitness routine. The practical use of this approach is illustrated in two classic optimization problems. In silico routines have been programmed in Gro, a cell programming language oriented to synthetic biology, and can easily be customized to many other optimization problems.


Author(s):  
Martina Poletti ◽  
Kaline Arnauts ◽  
Marc Ferrante ◽  
Tamas Korcsmaros

Abstract The gut microbiota appears to play a central role in health, and alterations in the gut microbiota are observed in both forms of Inflammatory Bowel Disease (IBD), namely Crohn’s disease and ulcerative colitis. Yet, the mechanisms behind host-microbiota interactions in IBD, especially at the intestinal epithelial cell level, are not yet fully understood. Dissecting the role of host-microbiota interactions in disease onset and progression is pivotal, and requires representative models mimicking the gastrointestinal ecosystem, including the intestinal epithelium, the gut microbiota and immune cells. New advancements in organoid microfluidics technology are facilitating the study of IBD-related microbial-epithelial crosstalk, and the discovery of novel microbial therapies. Here, we review different organoid-based ex vivo models that are currently available, and benchmark their suitability and limitations for specific research questions. Organoid applications such as patient-derived organoid biobanks for microbial screening and omics technologies are discussed, highlighting their potential to gain better mechanistic insights into disease mechanisms and eventually allowing personalized medicine.


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