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In invertebrates, crustaceans' immune system consists of pattern recognition receptors (PRRs) instead of immunoglobulin's, which involves in the microbial recognition and initiates the protein–ligand interaction between hosts and pathogens. In the present study, PRRs namely β‐1,3 glucan binding protein (β‐GBP) from mangrove crab Episesarma tetragonum and its interactions with the pathogens such as bacterial and fungal outer membrane proteins (OMP) were investigated through microbial aggregation and computational interaction studies. Molecular recognition and microbial aggregation results of Episesarma tetragonum β‐GBP showed the specific binding affinity toward the fungal β‐1,3 glucan molecule when compared to other bacterial ligands. Because of this microbial recognition, prophenoloxidase activity was enhanced and triggers the innate immunity inside the host animal. Our findings disclose the role of β‐GBP in molecular recognition, host–pathogen interaction through microbial aggregation, and docking analysis. In vitro results were concurred with the in silico docking, and molecular dynamics simulation analysis. This study would be helpful to understand the molecular mechanism of β‐GBP and update the current knowledge on the PRRs of crustaceans. Copyright © 2014 John Wiley & Sons, Ltd.  相似文献   
2.
A unified coarse-grained model of three major classes of biological molecules—proteins, nucleic acids, and polysaccharides—has been developed. It is based on the observations that the repeated units of biopolymers (peptide groups, nucleic acid bases, sugar rings) are highly polar and their charge distributions can be represented crudely as point multipoles. The model is an extension of the united residue (UNRES) coarse-grained model of proteins developed previously in our laboratory. The respective force fields are defined as the potentials of mean force of biomacromolecules immersed in water, where all degrees of freedom not considered in the model have been averaged out. Reducing the representation to one center per polar interaction site leads to the representation of average site–site interactions as mean-field dipole–dipole interactions. Further expansion of the potentials of mean force of biopolymer chains into Kubo’s cluster-cumulant series leads to the appearance of mean-field dipole–dipole interactions, averaged in the context of local interactions within a biopolymer unit. These mean-field interactions account for the formation of regular structures encountered in biomacromolecules, e.g., α-helices and β-sheets in proteins, double helices in nucleic acids, and helicoidally packed structures in polysaccharides, which enables us to use a greatly reduced number of interacting sites without sacrificing the ability to reproduce the correct architecture. This reduction results in an extension of the simulation timescale by more than four orders of magnitude compared to the all-atom representation. Examples of the performance of the model are presented.
Figure
Components of the Unified Coarse Grained Model (UCGM) of biological macromolecules  相似文献   
3.
Haemocyanin is an important non-specific immune protein present in the hemolymph of invertebrates, which have the ability to recognize the microbial pathogens and trigger the innate immune system. In this study, we isolated and purified the haemocyanin using gel filtration chromatography and investigated its microbial recognition mechanism against the invading pathogens. Kuruma shrimp Marsupenaeus japonicus haemocyanin showed the single band with a molecular weight of 76?kDa on SDS-PAGE and its molecular mass was analysed through the MALDI. Pathogen recognition mechanism of M. japonicus haemocyanin was detected through bacterial agglutination, agglutination inhibition and prophenoloxidase activity. M. japonicus haemocyanin agglutinate all human blood RBC types and showed the bacterial agglutination against all tested Gram positive Staphylococcus aureus, Enterococcus faecalis and Bacillus subtilis and Gram negative Pseudomonas aeruginosa, Proteus vulgaris and Vibrio parahaemolyticus at the concentrations ranging from 30 to 50?μg/ml. Agglutination was inhibited by 50–200?mM of N-acetylneuraminic acid, a-D-glucose, D-galactose and D-xylose. Our results suggest that, 76?kDa subunit of M. japonicus haemocyanin recognize the pathogenic surface proteins which are present on the outer membrane of the bacteria and mediates the bacterial agglutination through haemocytes. This bacterial agglutination was visualized through Confocal Laser Scanning Microscopy (CLSM). This present study would be helpful to explore the importance of haemocyanin in innate immune response of M. japonicus and its eliciting pathogen recognition mechanism leads to the development of innate immunity in crustaceans.  相似文献   
4.
International Journal of Peptide Research and Therapeutics - Lipopolysaccharide and β-1,3-glucan-binding protein (LGBP) is a pattern recognition protein (PRP) purified from the Penaeus monodon...  相似文献   
5.
In Prophenoloxidase (ProPO) cascade, two targets namely serine protease and α-2-macroglobulin are key regulators involved in the defense system of crustaceans. In biological systems, routine role of cell systems requires the understanding in protein–protein interactions through experimental and theoretical concepts, which might yield useful insights into the cellular responses. Response of cells to regulating the immune system is governed by the interactions-involved biomolecular simulations. Unfortunately, studies on the inhibitors (SP and α-2M) that negatively regulate the proPO system or melanization in penaeid shrimp are not yet available. In order to understand how these interactions change the proPO mechanism in Indian white shrimp Fenneropenaeus indicus was determined. In F. indicus, innate immune system is in a sensitive balance of intricate interactions; elucidating these interactions by the integration of in silico and in vitro has great potential. We have determined the expression of both the SP and α-2M enzymes in regulatory mechanism, which are analyzed through qRT-PCR, protein–protein docking, and simulation studies. From this work, we propose a novel approach for studying an organism at the systems level by integrating genome-wide computational analysis and the gene expression data.  相似文献   
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