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1. A theoretical study of the influence of a shear flow on the endocytosis of targeted liposomes | |||
BAI Fan, ZHANG En-Hua,SUN Ren | |||
Biology 12 December 2017 | |||
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Abstract:\justifying The endocytosis of 100nm targeted liposomes by endothelium cells in a shear flow is modeled by a set of master equations of the birth and death process. The relations between the shear rate and the parameters in the equations are established to analyze the effect of the shear flow on endocytosis. With the model, we show that the shear-induced variation of the bond formation rate does not influence the endocytosis and the insufficient binding strength of the non-specific attraction between lipid bilayers of liposomes and membranes of cells is the reason for the appreciable decrease in the number of endocytosed liposomes with the shear rate in former experiments. For the endocytosis of liposomes conjugated with PH1 peptide by human umbilical vein endothelial cells which expresses Tie2 receptors on their membranes, it is shown that the shear-elevated expression of Tie2 can evidently increase the number of endocytosed liposomes if the shear rate is larger than $100{\rm s}^{-1}$ and the duration of the experiment is longer than 30min. This result agrees with our experimental data. | |||
TO cite this article:BAI Fan, ZHANG En-Hua,SUN Ren. A theoretical study of the influence of a shear flow on the endocytosis of targeted liposomes[OL].[12 December 2017] http://en.paper.edu.cn/en_releasepaper/content/4742717 |
2. Discriminating bioluminescent proteins by incorporating average chemical shift and Evolutionary information | |||
Guo-Liang Fan,Qian-Zhong Li | |||
Biology 13 March 2013 | |||
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Abstract:Bioluminescent proteins as a high sensitive optical reporters for imaging in living animals, have been widely used in analytical applications in intracellular monitoring, genetic regulation and detection, immune and binding assays. In this work, we have systematically analyzed the information of 199 bioluminescent proteins and nonbioluminescent proteins, and propose an approach for distinguishing bioluminescent proteins by combining the dipeptide composition, reduced amino acid composition, evolutionary information, and auto covariance of averaged chemical shift (acACS). The overall prediction accuracy is 82.16% by Jackknife validation using the algorithm of support vector machine (SVM) and Increment of diversity. This result is better than that obtained by other existing methods. The improvement of the overall prediction accuracy reaches up to 5.33% higher than those of the SVM and auto covariance of sequential evolution information by 10-fold cross-validation. The acACS performance is excellent, indicating that our approach is better than other existing methods in the literature. | |||
TO cite this article:Guo-Liang Fan,Qian-Zhong Li. Discriminating bioluminescent proteins by incorporating average chemical shift and Evolutionary information[OL].[13 March 2013] http://en.paper.edu.cn/en_releasepaper/content/4529643 |
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