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10.1002/prp2.311 http://scihub22266oqcxt.onion/10.1002/prp2.311 C5464340!5464340 !28603630     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28603630 &cmd=llinks): Failed to open stream: HTTP request failed! 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A three-parameter two-state model of receptor function that incorporates affinity, efficacy, and signal amplification |pdf=|usr=}}{{28603630 }} gab.com Text A three-parameter two-state model of receptor function that incorporates affinity, efficacy, and signal amplification JO: Pharmacol Res Perspect http://www.kidney.de/pget.php?&tw=1&pmid=28603630 #FOAvip A generalized model of receptor function is proposed that relies on the essential assumptions of the minimal two-state receptor theory (i.e., ligand binding followed by receptor activation), but uses a different parametrization and allows nonlinear response (transduction) for possible signal amplification. For the most general case, three parameters are used: K(d), the classic equilibrium dissociation constant to characterize binding affinity; ?, an intrinsic efficacy to characterize the ability of the bound ligand to activate the receptor (ranging from 0 for an antagonist to 1 for a full agonist); and ?, a gain (amplification) parameter to characterize the nonlinearity of postactivation signal transduction (ranging from 1 for no amplification to infinity). The obtained equation, E/Emax=??L??+1-?L+Kd, resembles that of the operational (Black and Leff) or minimal two-state (del Castillo-Katz) models, E/Emax=?L?+1L+Kd, with ?? playing a role somewhat similar to that of the ? efficacy parameter of those models, but has several advantages. Its parameters are more intuitive as they are conceptually clearly related to the different steps of binding, activation, and signal transduction (amplification), and they are also better suited for optimization by nonlinear regression. It allows fitting of complex data where receptor binding and response are measured separately and the fractional occupancy and response are mismatched. Unlike the previous models, it is a true generalized model as simplified forms can be reproduced with special cases of its parameters. Such simplified forms can be used on their own to characterize partial agonism, competing partial and full agonists, or signal amplification. Twit Text FOAVip A three-parameter two-state model of receptor function that incorporates affinity, efficacy, and signal amplification ????Pharmacol Res Perspect http://www.kidney.de/pget.php?&tw=1&pmid=28603630 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28603630 #FOAvip English Wikipedia <ref>{{Cite pmid|28603630 }}</ref> A three-parameter two-state model of receptor function that incorporates affinity, efficacy, and signal amplification #MMPMID28603630 Buchwald P Pharmacol Res Perspect 2017[Jun]; 5 (3 ): e00311 PMID28603630 show ga A generalized model of receptor function is proposed that relies on the essential assumptions of the minimal two-state receptor theory (i.e., ligand binding followed by receptor activation), but uses a different parametrization and allows nonlinear response (transduction) for possible signal amplification. For the most general case, three parameters are used: K(d), the classic equilibrium dissociation constant to characterize binding affinity; ?, an intrinsic efficacy to characterize the ability of the bound ligand to activate the receptor (ranging from 0 for an antagonist to 1 for a full agonist); and ?, a gain (amplification) parameter to characterize the nonlinearity of postactivation signal transduction (ranging from 1 for no amplification to infinity). The obtained equation, E/Emax=??L??+1-?L+Kd, resembles that of the operational (Black and Leff) or minimal two-state (del Castillo-Katz) models, E/Emax=?L?+1L+Kd, with ?? playing a role somewhat similar to that of the ? efficacy parameter of those models, but has several advantages. Its parameters are more intuitive as they are conceptually clearly related to the different steps of binding, activation, and signal transduction (amplification), and they are also better suited for optimization by nonlinear regression. It allows fitting of complex data where receptor binding and response are measured separately and the fractional occupancy and response are mismatched. Unlike the previous models, it is a true generalized model as simplified forms can be reproduced with special cases of its parameters. Such simplified forms can be used on their own to characterize partial agonism, competing partial and full agonists, or signal amplification. äA three-parameter two-state model of receptor function that incorporat(epmc).pdf DeepDyve Pubget Overpricing