Scaffold Ranking and Positional Scanning Utilized in the Discovery of nAChR-Selective Compounds Suitable for Optimization Studies

Authors

Jinhua Wu, Torrey Pines Institute for Molecular Studies
Yaohong Zhang, Torrey Pines Institute for Molecular Studies; Zhejiang University
Laura E. Maida, Torrey Pines Institute for Molecular Studies
Radleigh Santos, Torrey Pines Institute for Molecular StudiesFollow
Greg Welmaker, Torrey Pines Institute for Molecular Studies
Travis LaVoi, Torrey Pines Institute for Molecular Studies
Adel Nefzi, Torrey Pines Institute for Molecular Studies
Yongping Yu, Zhejiang University; Torrey Pines Institute for Molecular Studies
Richard A. Houghten, Torrey Pines Institute for Molecular Studies
Lawrence Toll, Torrey Pines Institute for Molecular Studies
Marc Giulianotti, Torrey Pines Institute for Molecular Studies

Document Type

Article

Publication Date

11-25-2013

Publication Title

Journal of Medicinal Chemistry

ISSN

0022-2623

Volume

56

Issue/No.

24

First Page

10103

Last Page

10117

Abstract

Nicotine binds to nicotinic acetylcholine receptors (nAChR), which can exist as many different subtypes. The α4β2 nAChR is the most prevalent subtype in the brain and possesses the most evidence linking it to nicotine seeking behavior. Herein we report the use of mixture based combinatorial libraries for the rapid discovery of a series of α4β2 nAChR selective compounds. Further chemistry optimization provided compound 301, which was characterized as a selective α4β2 nAChR antagonist. This compound displayed no agonist activity but blocked nicotine-induced depolarization of HEK cells with an IC50 of approximately 430 nM. 301 demonstrated nearly 500-fold selectivity for binding and 40-fold functional selectivity for α4β2 over α3β4 nAChR. In total over 5 million compounds were assessed through the use of just 170 samples in order to identify a series of structural analogues suitable for future optimization toward the goal of developing clinically relevant smoking cessation medications.

Comments

Copyright © 2013 American Chemical Society

NSUWorks Citation

Wu, Jinhua; Zhang, Yaohong; Maida, Laura E.; Santos, Radleigh; Welmaker, Greg; LaVoi, Travis; Nefzi, Adel; Yu, Yongping; Houghten, Richard A.; Toll, Lawrence; and Giulianotti, Marc, "Scaffold Ranking and Positional Scanning Utilized in the Discovery of nAChR-Selective Compounds Suitable for Optimization Studies" (2013). Mathematics Faculty Articles. 231.
https://nsuworks.nova.edu/math_facarticles/231

DOI

10.1021/jm401543h