Publications by authors named "Shunsuke Inenaga"

Curcumin (1,7-bis(4-hydroxy-3-methoxyphenyl)-1,6-heptadiene-3,5-dione, Cm) is a natural compound which possesses antioxidant, anti-inflammatory and anti-tumor ability. Here, phospholipid vesicles or lipid-nanospheres embedding Cm (CmVe or CmLn) were formulated to deliver Cm into tissue macrophages through intravenous injection. Cm could be solubilized in hydrophobic regions of these particles to form nanoparticle dispersions, and these formulations showed ability to scavenge reactive oxygen species as antioxidants in dispersions.

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We present an efficient algorithm for detecting putative regulatory elements in the upstream DNA sequences of genes, using gene expression information obtained from microarray experiments. Based on a generalized suffix tree, our algorithm looks for motif patterns whose appearance in the upstream region is most correlated with the expression levels of the genes. We are able to find the optimal pattern, in time linear in the total length of the upstream sequences.

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We present a new approach to pattern discovery called string pattern regression, where we are given a data set that consists of a string attribute and an objective numerical attribute. The problem is to find the best string pattern that divides the data set in such a way that the distribution of the numerical attribute values of the set for which the pattern matches the string attribute, is most distinct, with respect to some appropriate measure, from the distribution of the numerical attribute values of the set for which the pattern does not match the string attribute. By solving this problem, we are able to discover, at the same time, a subset of the data whose objective numerical attributes are significantly different from rest of the data, as well as the splitting rule in the form of a string pattern that is conserved in the subset.

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