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In this study an antifungal protein from Urginea indica bulbs was purified to homogeneity by acid precipitation, Diol 300 Gel-filtration, and C(18) reverse phase HPLC. Its molecular mass was estimated to be 29 kDa and periodic acid-Schiff (PAS) staining showed that identified antifungal molecule is a glycoprotein. The neutralization of antifungal activity(More)
We have identified a novel glycoprotein from Urginea indica bulbs with potent in vivo antitumor activity against growth of an ascites tumor, mouse mammary carcinoma. In this paper we report characterization of a 29 kDa glycoprotein from U. indica and demonstrate the mechanism of antiangiogenic and proapoptotic activity. N-terminal sequence of the high(More)
Comprehensively sampled phylogenetic trees provide the most compelling foundations for strong inferences in comparative evolutionary biology. Mismatches are common, however, between the taxa for which comparative data are available and the taxa sampled by published phylogenetic analyses. Moreover, many published phylogenies are gene trees, which cannot(More)
A multi-labeled tree, or MUL-tree, is a phylogenetic tree where two or more leaves share a label, e.g., a species name. A MUL-tree can imply multiple conflicting phylogenetic relationships for the same set of taxa, but can also contain conflict-free information that is of interest and yet is not obvious. We define the information content of a MUL-tree T as(More)
A series of substituted benzophenone analogues has been synthesized and evaluated as orally active anti-inflammatory agents with reduced side effects. The anti-inflammatory and ulcerogenic activities of the compounds were compared with naproxen, indomethacin, and phenylbutazone. In carrageenan-induced foot pad edema assay, benzophenone analogues showed an(More)
The problem of mining collections of trees to identify common patterns, called frequent subtrees (FSTs), arises often when trying to interpret the results of phylogenetic analysis. FST mining generalizes the well-known maximum agreement subtree problem. Here we present EvoMiner, a new algorithm for mining frequent subtrees in collections of phylogenetic(More)
Graphical Models have been widely used for modelling causal relationships. We use causal Bayesian networks to model protein signaling networks and use the Bayesian approach to learn the network structure from mixed observational and experimental data. We compute the maximum a posteriori (MAP) network for a biological data set originally analyzed by Sachs et(More)
WSN has collection of sensor nodes, generally these sensor nodes tiny in size, less power and less cost and multifunctional in nature. Different routing protocols aim is to optimize lifetime and energy of the sensor networks. A lot of routing protocol in wireless sensor network also current senerio dependent, which gives the plateform to develop variety of(More)
A common problem in phylogenetic analysis is to identify frequent patterns in a collection of phylogenetic trees. The goal is, roughly, to find a subset of the species (taxa) on which all or some significant subset of the trees agree. One popular method to do so is through maximum agreement subtrees (MASTs). MASTs are also used, among other things, as a(More)