Literature DB >> 19032090

Use of calculated cation-pi binding energies to predict relative strengths of nicotinic acetylcholine receptor agonists.

Mathew Tantama1, Stuart Licht.   

Abstract

Agonists and antagonists of the nicotinic acetylcholine receptor (nAChR) are used to treat nicotine addiction, neuromuscular disorders, and neurological diseases. In designing small molecule therapeutics with the nAChR as a target, it is useful to identify chemical parameters that correlate with ability to activate the receptor. Previous studies have shown that cation-pi interactions at the transmitter binding sites of the nAChR are important for receptor activation by strong agonists such as acetylcholine. We hypothesized that a calculated estimate of cation-pi binding ability could be used to predict the efficiency for channel opening (i.e., the gating efficiency) associated with activation of the acetylcholine receptor by a series of structurally related organic cations. We demonstrate that the calculated cation-pi energy is strongly correlated with gating efficiency but only weakly correlated with closed-state binding affinity. Our results suggest that cation-pi interactions contribute significantly to the open-state affinity of these cations and that the calculated cation-pi energy will be a useful parameter for designing nAChR agonists and antagonists.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19032090     DOI: 10.1021/cb800189y

Source DB:  PubMed          Journal:  ACS Chem Biol        ISSN: 1554-8929            Impact factor:   5.100


  3 in total

1.  Purinergic control of lysenin's transport and voltage-gating properties.

Authors:  Sheenah Bryant; Nisha Shrestha; Paul Carnig; Samuel Kosydar; Philip Belzeski; Charles Hanna; Daniel Fologea
Journal:  Purinergic Signal       Date:  2016-06-18       Impact factor: 3.765

2.  Energy for wild-type acetylcholine receptor channel gating from different choline derivatives.

Authors:  Iva Bruhova; Timothy Gregg; Anthony Auerbach
Journal:  Biophys J       Date:  2013-02-05       Impact factor: 4.033

Review 3.  In Silico Modeling of the α7 Nicotinic Acetylcholine Receptor: New Pharmacological Challenges Associated with Multiple Modes of Signaling.

Authors:  Alican Gulsevin; Roger L Papke; Nicole Horenstein
Journal:  Mini Rev Med Chem       Date:  2020       Impact factor: 3.862

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.