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https://www.selleckchem.com/products/cl-amidine.html Collagen is the most abundant protein in higher animals and as such it is a valuable source of amino acids and carbon for saprophytic bacteria. Due to its unique amino acid composition and triple-helical tertiary structure it can however only be cleaved by specialized proteases like the collagenases secreted by some bacteria. Among the best described bacterial collagenases are ColG and ColH from Clostridium histolyticum. Many Bacillus species contain homologues of clostridial collagenases, which play a role in some infections caused by B. cereus. Detailed biochemical and enzymatic characterizations of bacillial collagenases are however lacking at this time. In an effort to close this gap in knowledge we expressed ColQ1 from B. cereus strain Q1 recombinantly, investigated its metal dependency and performed peptide, gelatin and collagen degradation assays. Our results show that ColQ1 is a true collagenase, cleaving natively folded collagen six times more efficiently than ColG while at the same time being a similarly effective peptidase as ColH. In both ColQ1 and ColG the rate-limiting step in collagenolysis is the unwinding of the triple-helix. The data suggest an orchestrated multi-domain mechanism for efficient helicase activity.Spectroscopic sensing provides physical and chemical information in a non-destructive and rapid manner. To develop non-destructive estimation methods of tea quality-related metabolites in fresh leaves, we estimated the contents of free amino acids, catechins, and caffeine in fresh tea leaves using visible to short-wave infrared hyperspectral reflectance data and machine learning algorithms. We acquired these data from approximately 200 new leaves with various status and then constructed the regression model in the combination of six spectral patterns with pre-processing and five algorithms. In most phenotypes, the combination of de-trending pre-processing and Cubist algorithms was robustly

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