Literature DB >> 3712379

The ensemble approach to distance geometry: application to the nicotinic pharmacophore.

R P Sheridan, R Nilakantan, J S Dixon, R Venkataraghavan.   

Abstract

We develop an extension of conventional distance geometry techniques that treats two or more molecules as a single "ensemble". This extension can be used to find a common pharmacophore, i.e., the spatial arrangement of essential groups, from a small set of biologically active molecules. The approach can generate, in one step, coordinates for the set of molecules in their "active" conformations such that their essential groups are superimposed. As an example, we show how the nicotinic pharmacophore can be deduced from a set of four nicotinic agonists: nicotine, cytisine, ferruginine methiodide, and muscarone. Three essential groups in each agonist are chosen: the cationic center (A), an electronegative atom (B), and an atom (C) that forms a dipole with B. There is only one pharmacophore possible for the superposition of these essential groups: a triangle with sides 4.8 A (A-B), 4.0 A (A-C), and 1.2 A (B-C). The pharmacophore triangle, which is consistent with previous models in the literature, can also be achieved by the agonist trans-3,3'-bis[(trimethylammonio)methyl]azobenzene and the antagonists strychnine, trimethaphan, and dihydro-beta-erythroidine. An examination of the common volumes of agonists suggests a specific disposition of molecular volume relative to the pharmacophore triangle. We discuss the relative strengths and drawbacks of the ensemble approach vs. other conformational search methods.

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Year:  1986        PMID: 3712379     DOI: 10.1021/jm00156a005

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  30 in total

1.  An improved nicotinic pharmacophore and a stereoselective CoMFA-model for nicotinic agonists acting at the central nicotinic acetylcholine receptors labelled by.

Authors:  J E Tønder; P H Olesen; J B Hansen; M Begtrup; I Pettersson
Journal:  J Comput Aided Mol Des       Date:  2001-03       Impact factor: 3.686

2.  Neuronal nicotinic receptor agonists: a multi-approach development of the pharmacophore.

Authors:  O Nicolotti; M Pellegrini-Calace; A Carrieri; C Altomare; N B Centeno; F Sanz; A Carotti
Journal:  J Comput Aided Mol Des       Date:  2001-09       Impact factor: 3.686

3.  Thermodynamic conformational analysis and structural stability of the nicotinic analgesic ABT-594.

Authors:  M Mora; C Muñoz-Caro; A Niño
Journal:  J Comput Aided Mol Des       Date:  2003-11       Impact factor: 3.686

4.  Novel α3β4 nicotinic acetylcholine receptor-selective ligands. Discovery, structure-activity studies, and pharmacological evaluation.

Authors:  Nurulain Zaveri; Faming Jiang; Cris Olsen; Willma Polgar; Lawrence Toll
Journal:  J Med Chem       Date:  2010-10-27       Impact factor: 7.446

5.  Do active site conformations of small ligands correspond to low free-energy solution structures?

Authors:  M Vieth; J D Hirst; C L Brooks
Journal:  J Comput Aided Mol Des       Date:  1998-11       Impact factor: 3.686

6.  Determinants of competitive antagonist sensitivity on neuronal nicotinic receptor beta subunits.

Authors:  S C Harvey; C W Luetje
Journal:  J Neurosci       Date:  1996-06-15       Impact factor: 6.167

Review 7.  Evolutionary algorithms in computer-aided molecular design.

Authors:  D E Clark; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

8.  Active-site-directed 3D database searching: pharmacophore extraction and validation of hits.

Authors:  D E Clark; D R Westhead; R A Sykes; C W Murray
Journal:  J Comput Aided Mol Des       Date:  1996-10       Impact factor: 3.686

9.  A Monte Carlo pharmacophore generation procedure: application to the human PAF receptor.

Authors:  E E Hodgkin; A Miller; M Whittaker
Journal:  J Comput Aided Mol Des       Date:  1993-10       Impact factor: 3.686

10.  Amphetamine enantiomers inhibit homomeric α7 nicotinic receptor through a competitive mechanism and within the intoxication levels in humans.

Authors:  Daniel R Garton; Sharmaine G Ross; Rafael Maldonado-Hernández; Matthias Quick; José A Lasalde-Dominicci; José E Lizardi-Ortiz
Journal:  Neuropharmacology       Date:  2018-10-23       Impact factor: 5.250

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