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363 results about "Substrate specificity" patented technology

Substrate specificity. In an enzyme activity, the substrate must bind with the enzyme to become a catalyst of a chemical reaction. And most enzymes are highly specific particularly to the nature of the substrate they bind to. Substrate specificity is one of the most essential distinctive features of enzymes.

Visualization and Processing of Multidimensional Data Using Prefiltered and Sorting Criteria

InactiveUS20070217689A1Rapidly and efficiently extracting useful informationFacilitates independent sorting backcoloringImage enhancementImage analysisDigital imagingSorting algorithm
Complex multidimensional datasets generated by digital imaging spectroscopy can be organized and analyzed by applying software and computer-based methods comprising sorting algorithms. Combinations of these algorithms to images and graphical data, allow pixels or features to be rapidly and efficiently classified into meaningful groups according to defined criteria. Multiple rounds of pixel or feature selection may be performed based on independent sorting criteria. In one embodiment sorting by spectral criteria (e.g., intensity at a given wavelength) is combined with sorting by temporal criteria (e.g., absorbance at a given time) to identify microcolonies of recombinant organisms harboring mutated genes encoding enzymes having desirable kinetic attributes and substrate specificity. Restriction of the set of pixels analyzed in a subsequent sort based on criteria applied in an earlier sort (“sort and lock” analyses) minimize computational and storage resources. User-defined criteria can also be incorporated into the sorting process by means of a graphical user interface that comprises a visualization tools including a contour plot, a sorting bar and a grouping bar, an image window, and a plot window that allow run-time interactive identification of pixels or features meeting one or more criteria, and display of their associated spectral or kinetic data. These methods are useful for extracting information from imaging data in applications ranging from biology and medicine to remote sensing.
Owner:KAIROS SCI

Visualization and processing of multidimensional data using prefiltering and sorting criteria

InactiveUS20050114801A1Rapidly and efficiently extracting useful informationFacilitates independent sortingImage enhancementDrawing from basic elementsSorting algorithmDigital imaging
Complex multidimensional datasets generated by digital imaging spectroscopy can be organized and analyzed by applying software and computer-based methods comprising sorting algorithms. Combinations of these algorithms to images and graphical data, allow pixels or features to be rapidly and efficiently classified into meaningful groups according to defined criteria. Multiple rounds of pixel or feature selection may be performed based on independent sorting criteria. In one embodiment sorting by spectral criteria (e.g., intensity at a given wavelength) is combined with sorting by temporal criteria (e.g., absorbance at a given time) to identify microcolonies of recombinant organisms harboring mutated genes encoding enzymes having desirable kinetic attributes and substrate specificity. Restriction of the set of pixels analyzed in a subsequent sort based on criteria applied in an earlier sort (“sort and lock” analyses) minimize computational and storage resources. User-defined criteria can also be incorporated into the sorting process by means of a graphical user interface that comprises a visualization tools including a contour plot, a sorting bar and a grouping bar, an image window, and a plot window that allow run-time interactive identification of pixels or features meeting one or more criteria, and display of their associated spectral or kinetic data. These methods are useful for extracting information from imaging data in applications ranging from biology and medicine to remote sensing.
Owner:YANG MARY M +5

Reorganized mannase, genetically-engineered bacteria of recombined mannose and hydrolyzing preparation mannan oligosaccharide method

The invention provides reorganized mannase, genetically-engineered bacteria of the recombined mannose and a hydrolyzing preparation mannan oligosaccharide method. The hydrolyzing preparation mannan oligosaccharide method comprises the steps 1), optimizing and reorganizing beta-mannase genes according to pichia pastoris codon preference; 2), constructing expression vector pHBM905BDM-Man containing the beta-mannase genes, converting pitchia pastoris GS115 competence cells, and fostering and checking to obtain single-copy genetically-engineered bacteria; 3) constructing, fostering and checking to obtain multi-copy genetically-engineered bacterium; 4) using different-copy-number genetically-engineered bacteria to efficiently express and prepare reorganized beta-mannase; and 5) using reorganized beta-mannase hydrolysis mannan substrate to produce mannan oligosaccharide. Substrate hydrolysis concentration is 15-40%, temperature is 50 DEG C to 55 DEG C, and time is 0.5 hour to 2 hours. At present, two-copy beta-mannase genetically-engineered bacteria GS115/MAN78(CCTCCNo:2012554) is high in expression level. The activity of the beta-mannase is 5000U/mL (a decimal number system method), hydrolysis substrate specificity is high, and hydrolysis substrate concentration is obviously higher than that of other methods.
Owner:HUBEI UNIV +1
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