Abstract: Disclosed are an oral film and stick jelly containing glutathione and a milk thistle extract. Provided are an oral disintegrating film, an oral mucosal adhesive film, and a stick jelly that contain glutathione, a milk thistle extract, or the like as an active ingredient, and thus are highly efficacious in improving absorption in the oral mucosa, antioxidant activity, and anti-inflammatory activity, strengthening immunity, and enhancing liver function of humans and companion animals.

Abstract: Provided is a peptide composition for preventing or treating Alzheimer's dementia. A peptide or a salt substituent thereof according to the presently claimed subject matter exhibits effects such as suppression of LPS-mediated cytokine production, suppression of LPS-induced neuroinflammation, amelioration of cognitive impairment, suppression of beta amyloid or tau protein aggregation, and suppression of neuronal loss. The polypeptide or the salt substituent thereof can permeate the blood-brain barrier, and thus, is expected to be usefully used for preventing or treating Alzheimer's dementia.

Abstract: Disclosed herein is a method of finding an isotopic cluster in a polypeptide and determining the monoisotopic mass of the cluster. The method comprises an algorithm for finding an isotopic cluster based on a probabilistic model, defined by each of peaks in the isotopic cluster, and determining the monoisotopic mass of the isotopic cluster. The probabilistic model of the isotopic cluster includes characteristic functions for mass, that is, a function of the ratio of two peak intensities, and a function of the product of two ratios obtained from three peaks. These characteristic functions for mass define the shape of peaks acceptable in an actual isotopic cluster for the mass of any isotopic cluster. The algorithm of finding the isotopic cluster based on the functions uses the characteristics to score the degree of the approximation of any isotopic cluster to the spectral shape of a theoretical cluster.

Abstract: Disclosed herein is a method of finding an isotopic cluster in a polypeptide and determining the monoisotopic mass of the cluster. The method comprises an algorithm for finding an isotopic cluster based on a probabilistic model, defined by each of peaks in the isotopic cluster, and determining the monoisotopic mass of the isotopic cluster. The probabilistic model of the isotopic cluster includes characteristic functions for mass, that is, a function of the ratio of two peak intensities, and a function of the product of two ratios obtained from three peaks. These characteristic functions for mass define the shape of peaks acceptable in an actual isotopic cluster for the mass of any isotopic cluster. The algorithm of finding the isotopic cluster based on the functions uses the characteristics to score the degree of the approximation of any isotopic cluster to the spectral shape of a theoretical cluster.