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10.1155/2014/416543 http://scihub22266oqcxt.onion/10.1155/2014/416543 C4055298!4055298!24982879     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomed+Res+Int 2014 ; 2014 (ä): ä Nephropedia Template TP {{tp|p=24982879|t=2014. Bioinformatic Prediction of WSSV-Host Protein-Protein Interaction |pdf=|usr=}}{{24982879}} gab.com Text Bioinformatic Prediction of WSSV-Host Protein-Protein Interaction JO: Biomed Res Int http://www.kidney.de/pget.php?&tw=1&pmid=24982879 #FOAvip WSSV is one of the most dangerous pathogens in shrimp aquaculture. However, the molecular mechanism of how WSSV interacts with shrimp is still not very clear. In the present study, bioinformatic approaches were used to predict interactions between proteins from WSSV and shrimp. The genome data of WSSV (NC_003225.1) and the constructed transcriptome data of F. chinensis were used to screen potentially interacting proteins by searching in protein interaction databases, including STRING, Reactome, and DIP. Forty-four pairs of proteins were suggested to have interactions between WSSV and the shrimp. Gene ontology analysis revealed that 6 pairs of these interacting proteins were classified into ?extracellular region? or ?receptor complex? GO-terms. KEGG pathway analysis showed that they were involved in the ?ECM-receptor interaction pathway.? In the 6 pairs of interacting proteins, an envelope protein called ?collagen-like protein? (WSSV-CLP) encoded by an early virus gene ?wsv001? in WSSV interacted with 6 deduced proteins from the shrimp, including three integrin alpha (ITGA), two integrin beta (ITGB), and one syndecan (SDC). Sequence analysis on WSSV-CLP, ITGA, ITGB, and SDC revealed that they possessed the sequence features for protein-protein interactions. This study might provide new insights into the interaction mechanisms between WSSV and shrimp. Twit Text FOAVip Bioinformatic Prediction of WSSV-Host Protein-Protein Interaction ????Biomed Res Int http://www.kidney.de/pget.php?&tw=1&pmid=24982879 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24982879 #FOAvip English Wikipedia <ref>{{Cite pmid|24982879}}</ref> Bioinformatic Prediction of WSSV-Host Protein-Protein Interaction #MMPMID24982879 Sun Z; Li S; Li F; Xiang J Biomed Res Int 2014[]; 2014 (ä): ä PMID24982879show ga WSSV is one of the most dangerous pathogens in shrimp aquaculture. However, the molecular mechanism of how WSSV interacts with shrimp is still not very clear. In the present study, bioinformatic approaches were used to predict interactions between proteins from WSSV and shrimp. The genome data of WSSV (NC_003225.1) and the constructed transcriptome data of F. chinensis were used to screen potentially interacting proteins by searching in protein interaction databases, including STRING, Reactome, and DIP. Forty-four pairs of proteins were suggested to have interactions between WSSV and the shrimp. Gene ontology analysis revealed that 6 pairs of these interacting proteins were classified into ?extracellular region? or ?receptor complex? GO-terms. KEGG pathway analysis showed that they were involved in the ?ECM-receptor interaction pathway.? In the 6 pairs of interacting proteins, an envelope protein called ?collagen-like protein? (WSSV-CLP) encoded by an early virus gene ?wsv001? in WSSV interacted with 6 deduced proteins from the shrimp, including three integrin alpha (ITGA), two integrin beta (ITGB), and one syndecan (SDC). Sequence analysis on WSSV-CLP, ITGA, ITGB, and SDC revealed that they possessed the sequence features for protein-protein interactions. This study might provide new insights into the interaction mechanisms between WSSV and shrimp. äBioinformatic Prediction of WSSV-Host Protein-Protein Interaction (epmc).pdf DeepDyve Pubget Overpricing