Synthesis and Structure−Activity Relationships of a New Model of Arylpiperazines. 2. Three-Dimensional Quantitative Structure−Activity Relationships of Hydantoin−Phenylpiperazine Derivatives with Affinity for 5-HT1A and α1 Receptors. A Comparison of CoMFA Models
摘要:
A series of 48 bicyclohydantoin-phenylpiperazines (1-4) with affinity for 5-HT1A and alpha(1) receptors was subjected to three-dimensional quantitative structure-affinity relationship analysis using comparative molecular field analysis (CoMFA), in order to get insight into the structural requirements that are responsible for 5-HT1A/alpha(1) selectivity. Good models (high cross-validation correlations and predictive power) were obtained for 5-HT1A and alpha(1) receptors. The resulting 3D-QSAR models rationalize steric and electrostatic factors which modulate binding to 5-HT1A and alpha(1) receptors. A comparison of these models gives an additional understanding for 5-HT1A/alpha(1) selectivity: (a) Substitution at the ortho position by a group with negative potential is favorable to affinity for both receptors. (b) The meta position seems to be implicated in 5-HT1A/alpha(1) selectivity. While the 5-HT1A receptor is able to accommodate bulky substituents in the region of its active site, the steric requirements of the alpha(1) receptor are more restricted (optimum volume of substituent 11-25 Angstrom(3)). (c) For both receptors the para position represents a region where the volume accessible by the ligands is limited. (d) The hydantoin moiety and the side chain length seem to modulate not only the affinity but also 5-HT1A/alpha(1) selectivity. The 3D-QSAR models reveal an useful predictive information for the design of new selective ligands.
Design and synthesis of 2-[4-[4-(m-(ethylsulfonamido)-phenyl)piperazin-1-yl]butyl]-1,3-dioxoperhydropyrrolo[1,2-c]imidazole (EF-7412) using neural networks. A selective derivative with mixed antagonist properties
摘要:
A test series of 32 phenylpiperazines III with affinity for 5-HT1A and alpha(1) receptors was subjected to QSAR analysis using artificial neural networks (ANNs), in order to get insight into the structural requirements that are responsible for 5-HT1A/alpha(1) selectivity. Good models and predictive power were obtained for 5-HT1A and alpha(1) receptors. A comparison of these models gives information for the design of the new ligand EF-7412 (5-HT1A:K-i (nM)= 27; alpha(1):K-i (nM) > 1000). This derivative displayed affinity for dopamine D-2 receptor (K-i=22 nM) and is selective for all other receptor examined (5-HT2A, 5-HT3, 5-HT3, 5-HT4 and Bz). EF-7412 acts an antagonist in vivo in pre- and postsynaptic 5-MT1A receptor sites and as an antagonist in dopamine D-2 receptor. (C) 1999 Elsevier Science Ltd. All rights reserved.
Synthesis and Structure−Activity Relationships of a New Model of Arylpiperazines. 5. Study of the Physicochemical Influence of the Pharmacophore on 5-HT<sub>1A</sub>/α<sub>1</sub>-Adrenergic Receptor Affinity: Synthesis of a New Derivative with Mixed 5-HT<sub>1A</sub>/D<sub>2</sub> Antagonist Properties
作者:María L. López-Rodríguez、M. José Morcillo、Esther Fernández、Esther Porras、Luis Orensanz、M Eugenia Beneytez、Jorge Manzanares、Jose Angel Fuentes
DOI:10.1021/jm000929u
日期:2001.1.1
In this paper we have designed and synthesized a test series of 32 amide arylpiperazine derivatives VI in order to gain insight into the physicochemical influence of the pharmacophores of 5-HT1A and alpha (1)-adrenergic receptors. The training set was designed applying a fractional factorial design using six physicochemical descriptors. The amide moiety is a bicyclohydantoin or a diketopiperazine (X = -(CH2)(3)-, -(CH2)(4)-; m = 0, 1), the spacer length is 3 or 4 methylene units, which are the optimum values for both receptors, and the aromatic substituent R occupies the ortho- or meta-position and has been selected from a database of 387 substituents using the EDISFAR program. The 5-HT1A and alpha (1)-adrenergic receptor binding affinities of synthesized compounds VI (1-32) have been determined. This data set has been used to derive classical quantitative structure-activity relationships (QSAR) and neural-networks models for both receptors (following paper). A comparison of these models gives information for the design of the new ligand EF-7412 (46) (5-HT1A: K-i = 27 nM; alpha (1): K-i > 1000 nM). This derivative displays affinity for the dopamine D-2 receptor (K-i = 22 nM) and is selective versus all other receptors examined (5-HT2A, 5-HT3, 5-HT4 and Bz; K-i > 1000 nM). EF-7412 (46) acts as an antagonist in vivo in pre- and postsynaptic 5-HT1A receptor sites and; as an antagonist in the dopamine D-2 receptor. Thus, EF-7412 (46) is a derivative with mixed 5-HT1A/D-2 antagonist properties and this derivative could be useful as a pharmacological tool.