更新日期: 共13条
Controllable Synthesis of a Smart Multifunctional Nanoscale Metal-Organic Framework for Magnetic Resonance/Optical Imaging and Targeted Drug Delivery

作者:Gao, Xuechuan;Zhai, Manjue;Guan, Weihua;Liu, Jingjuan;Liu, Zhiliang;Damirin, Alatangaole 来源: ACS APPLIED MATERIAL... 收录类型: SCOPUS; SCIE; EI; PubMed; - 被引量:6 - 年份:2017

As a result of their extraordinarily large surfaces and well-defined pores, the design of a multifunctional metal-organic framework (MOF) is crucial for drug delivery but has rarely been reported. In this paper, a novel drug delivery system (DDS) based on nanoscale MOF was developed for use in cancer diagnosis and therapy. This MOF-based tumor targeting DDS was fabricated by a simple postsynthetic surface modification process. First, magnetic mesoporous nanomaterial Fe-MIL-53-NH2 was used for encapsulating the drug and served as a magnetic resonance contrast agent. Moreover, the Fe-MIL-53-NH2 nanomaterial exhibited a high loading capacity for the model anticancer drug 5-fluorouracil (5 -FU). Subsequently, the fluorescence imaging agent 5-carboxyfluorescein (5-FAM) and the targeting reagent folic acid (FA) were conjugated to the 5 -FU -loaded Fe-MIL-53-NH2, resulting in the advanced DDS Fe-MIL-53-NH2-FA-5-FAM/5-FU. Owing to the multifunctional surface modification, the obtained DDS Fe-MIL-53-NH2-FA-5-FAM/5-FU shows good biocompatibility, tumor enhanced cellular uptake, strong cancer cell growth inhibitory effect, excellent fluorescence imaging, and outstanding magnetic resonance imaging capability. Taken together, this study integrates diagnostic and treatment aspects into a single platform by a simple and efficient strategy, aiming for facilitating new possibilities for MOF use for multifunctional drug delivery.

Distribution of primary additional errors in fractal encoding method

作者:Liu, Shuai;Fu, Weina;He, Liqiang;Zhou, Jiantao;Ma, Ming 来源: MULTIMEDIA TOOLS AND... 收录类型: SCOPUS; SCIE; EI; - 被引量:25 - 年份:2017

Today, fractal image encoding method becomes an effective loss compression method in multimedia without resolution, and its negativeness is that its high computational complexity. So many approximate methods are given to decrease the computation time. So the distribution of error points is valued to research. In this paper, by extracted primary additional error values, we first present a novel fast fractal encoding method. Then, with the extracted primary additional error values,we abstract the distribution of these values.We find that the different distribution of values denotes the different parts in images. Finally, we analyze the experimental results and find some properties of these values.The experimental results also show the effectiveness of the method.

PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition

作者:Zuo, Yongchun;Li, Yuan;Chen, Yingli;Li, Guangpeng;Yan, Zhenhe;Yang, Lei 来源: BIOINFORMATICS 收录类型: SCIE; SCOPUS; PubMed; - 被引量:5 - 年份:2017

The reduced amino acids perform powerful ability for both simplifying protein complexity and identifying functional conserved regions. However, dealing with different protein problems may need different kinds of cluster methods. Encouraged by the success of pseudo-amino acid composition algorithm, we developed a freely available web server, called PseKRAAC (the pseudo K-tuple reduced amino acids composition). By implementing reduced amino acid alphabets, the protein complexity can be significantly simplified, which leads to decrease chance of overfitting, lower computational handicap and reduce information redundancy. PseKRAAC delivers more capability for protein research by incorporating three crucial parameters that describes protein composition. Users can easily generate many different modes of PseKRAAC tailored to their needs by selecting various reduced amino acids alphabets and other characteristic parameters. It is anticipated that the PseKRAAC web server will become a very useful tool in computational proteomics and protein sequence analysis.

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