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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Structural and Evolutionary Characteristics of Fish-Specific TLR19

Wang, Jinlan, Zhang, Zheng, Fu, Hui, Zhang, Shangli, Liu, Jing, Chang, Fen, Li, Fang, Zhao, Jing, Yin, Deling 01 November 2015 (has links)
Toll-like receptors (TLRs) are important pattern recognition receptors in the innate immune system of fish. Although ten years have passed since the first identification, the systematic knowledge about fish-specific TLR19 is still far insufficient. In present study, a phylogenetic analysis showed that TLR19 belonged to family 11, and clustered with TLR20 and TLR11/12 on the evolutionary tree. TLR20 is the closest paralogue of TLR19. The ectodomain of TLR19 contains 24 leucine-rich repeat (LRR) modules. The electrostatic surface potential analysis indicated that the modeled structure of TLR19 ectodomain showed much stronger polarity on the ascending lateral surface than on the descending lateral surface. The ascending lateral surface with strong electrostatic surface potential possibly mainly participates in the ligand binding of TLR19 ectodomain. The quite small dN/dS value at the TLR19 locus showed that TLR19 was very conserved. Approximately one third codons in the coding sequence of TLR19 were subjected to significantly negative selection, whereas only 5 codons underwent significantly positive selection. Overall, these findings possibly help in deepening the understanding to fish-specific TLR19.
2

Computational study of anion-anion intermolecular interactions between I3-ions in the gas phase, solution and solid state

Groenewald, Ferdinand George 12 1900 (has links)
Thesis (MSc)--Stellenbosch University, 2012. / Please refer to full text for abstract.

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