108 research outputs found

    Additional file 2: Figure S2. of Identification of regulatory modules in genome scale transcription regulatory networks

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    Evaluation of different module-finding methods using simulated networks with different parameters. From top row to bottom row: mSize = 5, mSize = 15, mSize = 20. From left most column to right most column: targetNum = 5, targetNum = 15, targetNum = 20. (PDF 73 kb

    Additional file 3: Figure S3. of Identification of regulatory modules in genome scale transcription regulatory networks

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    Rewiring recall score for LP, WT and EB in real networks. We rescaled the y-axis to highlight the differences in the curves for LP, WT and EB (PDF 29 kb

    Pharmaceutical Cocrystals of Ribavirin with Reduced Release Rates

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    Cocrystals have been extensively utilized to improve drugs’ properties. Ribavirin is a water-soluble broad-spectrum antiviral drug and its application is severely limited by the peak-to-trough fluctuation in plasma drug concentrations and some undesirable side-effects. We show here that formation of cocrystals may be a useful approach to overcome this problem by reducing the release rate of ribavirin. Three cocrystals of ribavirin with 3,5-dihydroxybenzoic acid (<b>1</b>), gallic acid (<b>2</b>), and barbituric acid (<b>3</b>) were successfully prepared and characterized by powder and single crystal X-ray diffraction, infrared spectroscopy, differential scanning calorimetry, and thermogravimetric analysis, as well as dynamic vapor sorption measurement. The dissolution process revealed that <b>1</b>–<b>3</b> showed a reduced release rate as compared to ribavirin in the buffer solution representing intestinal pH 6.8. This study indicates that the release rate of ribavirin can be manipulated over a wide range by the formation of cocrystals, which may subsequently help lower its peak-to-trough fluctuation in plasma concentrations

    Additional file 3: Figure S2. of CoSpliceNet: a framework for co-splicing network inference from transcriptomics data

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    The k-means clusters. The set of 7960 differentially expressed transcripts was clustered into 50 clusters using k-means algorithm. (PDF 1583 kb

    Additional file 1: Figure S1. of CoSpliceNet: a framework for co-splicing network inference from transcriptomics data

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    Protein diversity analysis of the set of differentially expressed transcripts expressed during Arabidopsis embryo development. Two thousand three hundred forty-five genes were alternatively spliced. Protein diversity analysis was performed on 3008 SV pairs of these genes. a Effect of coding potential on peptide length differences of protein isoforms. b Relationship between the domain composition and coding potential. c Relationship between the peptide length ratio and coding potential. (PDF 130 kb
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