Patents

The present invention discloses a method to produce amino sugar (containing) products using metabolically engineered microorganisms wherein the conversion of UDP-N- acetylglucosamine to cell envelope precursors and molecules is reduced by altering the activity of enzymes involved in the synthesis of cell envelope precursors and molecules.

The present invention relates to mutated chitin oligosaccharide synthases and their usage to produce molecules having useful features. More specifically, the present invention discloses the usage of engineered microorganisms expressing a mutated chitin oligosaccharide synthase to produce chitin oligosaccharides having a degree of polymerization of four, five, six or seven.

The present invention relates to mutated chitin oligosaccharide synthases and their usage to produce molecules having useful features. More specifically, the present invention discloses the usage of engineered microorganisms expressing a mutated chitin oligosaccharide synthase to produce chitin oligosaccharides having a degree of polymerization of four, five, six or seven.

The present invention discloses a method to produce amino sugar (containing) products using metabolically engineered microorganisms wherein the conversion of UDP-N- acetylglucosamine to cell envelope precursors and molecules is reduced by altering the activity of enzymes involved in the synthesis of cell envelope precursors and molecules.

The present invention discloses a method to produce amino sugar (containing) products using metabolically engineered microorganisms wherein the conversion of UDP-N- acetylglucosamine to cell envelope precursors and molecules is reduced by altering the activity of enzymes involved in the synthesis of cell envelope precursors and molecules.

Imaging mass spectrometry (IMS) has become a prime tool for studying the distribution of biomolecules in tissue. Although IMS data sets can become very large, computational methods have made it practically feasible to search these experiments for relevant findings. However, these methods lack access to an important source of information that many human interpretations rely upon: anatomical insight. In this work, this need is addressed by (1) integrating a curated anatomical data source with an empirically acquired IMS data source, establishing an algorithm-accessible link between them; and ...

Imaging mass spectrometry (IMS) has become a prime tool for studying the distribution of biomolecules in tissue. Although IMS data sets can become very large, computational methods have made it practically feasible to search these experiments for relevant findings. However, these methods lack access to an important source of information that many human interpretations rely upon: anatomical insight In this work, we address this need by (1) integrating a curated anatomical data source with an empirically acquired IMS data source, establishing an algorithm-accessible link between item; and (2) ...

Imaging mass spectrometry (IMS) has become a prime tool for studying the distribution of biomolecules in tissue. Although IMS data sets can become very large, computational methods have made it practically feasible to search these experiments for relevant findings. However, these methods lack access to an important source of information that many human interpretations rely upon: anatomical insight In this work, we address this need by (1) integrating a curated anatomical data source with an empirically acquired IMS data source, establishing an algorithm-accessible link between item; and (2) ...