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Full-Text Articles in Medicine and Health Sciences
In Vivo Quantitative Study Of Sized-Dependent Transport And Toxicity Of Single Silver Nanoparticles Using Zebrafish Embryos, Kerry J. Lee, Lauren M. Browning, Prakash D. Nallathamby, Tanvi Desai, Pavan K. Cherukui, Xiao-Hong Nancy Xu
In Vivo Quantitative Study Of Sized-Dependent Transport And Toxicity Of Single Silver Nanoparticles Using Zebrafish Embryos, Kerry J. Lee, Lauren M. Browning, Prakash D. Nallathamby, Tanvi Desai, Pavan K. Cherukui, Xiao-Hong Nancy Xu
Chemistry & Biochemistry Faculty Publications
Nanomaterials possess distinctive physicochemical properties (e.g., small sizes and high surface area-to-volume ratios) and promise a wide variety of applications, ranging from the design of high quality consumer products to effective disease diagnosis and therapy. These properties can lead to toxic effects, potentially hindering advances in nanotechnology. In this study, we have synthesized and characterized purified and stable (nonaggregation) silver nanoparticles (Ag NPs, 41.6 ± 9.1 nm in average diameter) and utilized early developing (cleavage-stage) zebrafish embryos (critical aquatic and eco- species) as in vivo model organisms to probe the diffusion and toxicity of Ag NPs. We found that single …
Protein Structure Networks, Lesley H. Greene
Protein Structure Networks, Lesley H. Greene
Chemistry & Biochemistry Faculty Publications
The application of the field of network science to the scientific disciplines of structural biology and biochemistry, have yielded important new insights into the nature and determinants of protein structures, function, dynamics and the folding process. Advancements in further understanding protein relationships through network science have also reshaped the way we view the connectivity of proteins in the protein universe. The canonical hierarchical classification can now be visualized for example, as a protein fold continuum. This review will survey several key advances in the expanding area of research being conducted to study protein structures and folding using network approaches.