کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5556584 1560480 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Estimation of the receptor-state affinity constants of ligands in functional studies using wild type and constitutively active mutant receptors: Implications for estimation of agonist bias
ترجمه فارسی عنوان
برآورد ثابت های وابستگی گیرنده دولت لیگاند ها در مطالعات کاربردی با استفاده از گیرنده های جهش یافته و وحشی نوعی و سازنده فعال: تاثیرات برای برآورد انحراف آگونیست
کلمات کلیدی
ثابت های وابستگی دولت گیرنده، فعالیت مؤثر، تعصب آگونیست، تعصب سیستم، مدل مونود-ویمان-تغییری، وابستگی مشاهده شده، اثر، فعال سازی گیرنده، حالت فعال حالت غیر فعال،
موضوعات مرتبط
علوم پزشکی و سلامت داروسازی، سم شناسی و علوم دارویی داروشناسی
چکیده انگلیسی

We describe a method for estimating the affinities of ligands for active and inactive states of a G protein-coupled receptor (GPCR). Our protocol involves measuring agonist-induced signaling responses of a wild type GPCR and a constitutively active mutant of it under control conditions and after partial receptor inactivation or reduced receptor expression. Our subsequent analysis is based on the assumption that the activating mutation increases receptor isomerization into the active state without affecting the affinities of ligands for receptor states. A means of confirming this assumption is provided. Global nonlinear regression analysis yields estimates of 1) the active (Kact) and inactive (Kinact) receptor-state affinity constants, 2) the isomerization constant of the unoccupied receptor (Kq-obs), and 3) the sensitivity constant of the signaling pathway (KE-obs). The latter two parameters define the output response of the receptor, and hence, their ratio (Kq-obs/KE) is a useful measure of system bias. If the cellular system is reasonably stable and the Kq-obs and KE-obs values of the signaling pathway are known, the Kact and Kinact values of additional agonists can be estimated in subsequent experiments on cells expressing the wild type receptor. We validated our method through computer simulation, an analytical proof, and analysis of previously published data. Our approach provides 1) a more meaningful analysis of structure-activity relationships, 2) a means of validating in silico docking experiments on active and inactive receptor structures and 3) an absolute, in contrast to relative, measure of agonist bias.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Pharmacological and Toxicological Methods - Volume 83, January–February 2017, Pages 94-106
نویسندگان
, ,