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10.1093/bioinformatics/btw767 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btw767 C5860227!5860227!28062447     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioinformatics 2017 ; 33 (7): 1014-20 Nephropedia Template TP {{tp|p=28062447|t=2017. Cross-React: a new structural bioinformatics method for predicting allergen cross-reactivity |pdf=|usr=}}{{28062447}} gab.com Text Cross-React: a new structural bioinformatics method for predicting allergen cross-reactivity JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=28062447 #FOAvip The phenomenon of cross-reactivity between allergenic proteins plays an important role to understand how the immune system recognizes different antigen proteins. Allergen proteins are known to cross-react if their sequence comparison shows a high sequence identity which also implies that the proteins have a similar 3D fold. In such cases, linear sequence alignment methods are frequently used to predict cross-reactivity between allergenic proteins. However, the prediction of cross-reactivity between distantly related allergens continues to be a challenging task. To overcome this problem, we developed a new structure-based computational method, Cross-React, to predict cross-reactivity between allergenic proteins available in the Structural Database of Allergens (SDAP). Our method is based on the hypothesis that we can find surface patches on 3D structures of potential allergens with amino acid compositions similar to an epitope in a known allergen. We applied the Cross-React method to a diverse set of seven allergens, and successfully identified several cross-reactive allergens with high to moderate sequence identity which have also been experimentally shown to cross-react. Based on these findings, we suggest that Cross-React can be used as a predictive tool to assess protein allergenicity and cross-reactivity.Availability and Implementation: Cross-React is available at: http://curie.utmb.edu/Cross-React.html Twit Text FOAVip Cross-React: a new structural bioinformatics method for predicting allergen cross-reactivity ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=28062447 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28062447 #FOAvip English Wikipedia <ref>{{Cite pmid|28062447}}</ref> Cross-React: a new structural bioinformatics method for predicting allergen cross-reactivity #MMPMID28062447 Negi SS; Braun W Bioinformatics 2017[Apr]; 33 (7): 1014-20 PMID28062447show ga The phenomenon of cross-reactivity between allergenic proteins plays an important role to understand how the immune system recognizes different antigen proteins. Allergen proteins are known to cross-react if their sequence comparison shows a high sequence identity which also implies that the proteins have a similar 3D fold. In such cases, linear sequence alignment methods are frequently used to predict cross-reactivity between allergenic proteins. However, the prediction of cross-reactivity between distantly related allergens continues to be a challenging task. To overcome this problem, we developed a new structure-based computational method, Cross-React, to predict cross-reactivity between allergenic proteins available in the Structural Database of Allergens (SDAP). Our method is based on the hypothesis that we can find surface patches on 3D structures of potential allergens with amino acid compositions similar to an epitope in a known allergen. We applied the Cross-React method to a diverse set of seven allergens, and successfully identified several cross-reactive allergens with high to moderate sequence identity which have also been experimentally shown to cross-react. Based on these findings, we suggest that Cross-React can be used as a predictive tool to assess protein allergenicity and cross-reactivity.Availability and Implementation: Cross-React is available at: http://curie.utmb.edu/Cross-React.html äCross-React: a new structural bioinformatics method for predicting all(epmc).pdf DeepDyve Pubget Overpricing