Literature DB >> 33675765

Agonist efficiency from concentration-response curves: Structural implications and applications.

Dinesh C Indurthi1, Anthony Auerbach2.   

Abstract

Agonists are evaluated by a concentration-response curve (CRC), with a midpoint (EC50) that indicates potency, a high-concentration asymptote that indicates efficacy, and a low-concentration asymptote that indicates constitutive activity. A third agonist attribute, efficiency (η), is the fraction of binding energy that is applied to the conformational change that activates the receptor. We show that η can be calculated from EC50 and the asymptotes of a CRC derived from either single-channel or whole-cell responses. For 20 agonists of skeletal muscle nicotinic receptors, the distribution of η-values is bimodal with population means at 51% (including acetylcholine, nornicotine, and dimethylphenylpiperazinium) and 40% (including epibatidine, varenicline, and cytisine). The value of η is related inversely to the size of the agonist's headgroup, with high- versus low-efficiency ligands having an average volume of 70 vs. 102 Å3. Most binding site mutations have only a small effect on acetylcholine efficiency, except for αY190A (35%), αW149A (60%), and those at αG153 (42%). If η is known, the EC50 and high-concentration asymptote can be calculated from each other. Hence, an entire CRC can be estimated from the response to a single agonist concentration, and efficacy can be estimated from EC50 of a CRC that has been normalized to 1. Given η, the level of constitutive activity can be estimated from a single CRC.
Copyright © 2021 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 33675765      PMCID: PMC8204218          DOI: 10.1016/j.bpj.2021.02.034

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  41 in total

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Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

2.  Restoration of single-channel currents using the segmental k-means method based on hidden Markov modeling.

Authors:  Feng Qin
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

3.  Energy and structure of the M2 helix in acetylcholine receptor-channel gating.

Authors:  Archana Jha; Prasad Purohit; Anthony Auerbach
Journal:  Biophys J       Date:  2009-05-20       Impact factor: 4.033

4.  Maximum likelihood estimation of aggregated Markov processes.

Authors:  F Qin; A Auerbach; F Sachs
Journal:  Proc Biol Sci       Date:  1997-03-22       Impact factor: 5.349

5.  Catch-and-hold activation of muscle acetylcholine receptors having transmitter binding site mutations.

Authors:  Prasad Purohit; Iva Bruhova; Shaweta Gupta; Anthony Auerbach
Journal:  Biophys J       Date:  2014-07-01       Impact factor: 4.033

6.  Molecular recognition at cholinergic synapses: acetylcholine versus choline.

Authors:  Iva Bruhova; Anthony Auerbach
Journal:  J Physiol       Date:  2016-12-12       Impact factor: 5.182

7.  Congenital myasthenic syndrome caused by decreased agonist binding affinity due to a mutation in the acetylcholine receptor epsilon subunit.

Authors:  K Ohno; H L Wang; M Milone; N Bren; J M Brengman; S Nakano; P Quiram; J N Pruitt; S M Sine; A G Engel
Journal:  Neuron       Date:  1996-07       Impact factor: 17.173

8.  Structure of the Native Muscle-type Nicotinic Receptor and Inhibition by Snake Venom Toxins.

Authors:  Md Mahfuzur Rahman; Jinfeng Teng; Brady T Worrell; Colleen M Noviello; Myeongseon Lee; Arthur Karlin; Michael H B Stowell; Ryan E Hibbs
Journal:  Neuron       Date:  2020-04-09       Impact factor: 17.173

9.  A single molecular distance predicts agonist binding energy in nicotinic receptors.

Authors:  Sushree Tripathy; Wenjun Zheng; Anthony Auerbach
Journal:  J Gen Physiol       Date:  2019-01-11       Impact factor: 4.086

Review 10.  The Structure, Function, and Physiology of the Fetal and Adult Acetylcholine Receptor in Muscle.

Authors:  Hakan Cetin; David Beeson; Angela Vincent; Richard Webster
Journal:  Front Mol Neurosci       Date:  2020-09-08       Impact factor: 5.639

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