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1.
Bioorg Med Chem Lett ; 21(11): 3399-403, 2011 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-21524576

RESUMO

Herein we describe the discovery of compounds that are competitive antagonists of the CP101-606 binding site within the NR2B subtype of the NMDA receptor. The compounds identified do not possess phenolic functional groups such as those in ifenprodil and related analogs. Initial identification of hits in this series focused on a basic, secondary amine side chain which led to good potency, but also presented a hERG liability. Further modifications led to examples of non-basic replacements which demonstrated much less liability in this regard. Finally, one compound in the series, 6a, was tested in the mouse forced swim depression assay and found to show activity (s.c. 60 mg/kg).


Assuntos
Antidepressivos/síntese química , Pirazinas/síntese química , Receptores de N-Metil-D-Aspartato/antagonistas & inibidores , Animais , Antidepressivos/química , Antidepressivos/farmacologia , Sítios de Ligação , Ligação Competitiva , Relação Dose-Resposta a Droga , Concentração Inibidora 50 , Camundongos , Estrutura Molecular , Atividade Motora/efeitos dos fármacos , Ligação Proteica/efeitos dos fármacos , Pirazinas/química , Pirazinas/farmacologia
2.
J Mol Graph Model ; 29(3): 372-81, 2010 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-20800520

RESUMO

We present a technique for computing activity discriminants of in vitro (pharmacological, DMPK, and safety) assays and the application to the prediction of in vitro activities of proposed synthetic targets during the lead optimization phase of drug discovery projects. This technique emulates how medicinal chemists perform SAR analysis and activity prediction. The activity discriminants that are functions of 6 commonly used medicinal chemistry descriptors can be interpreted easily by medicinal chemists. Further, visualization with Spotfire allows medicinal chemists to analyze how the query molecule is related to compounds tested previously, and to evaluate easily the relevance of the activity discriminants to the activities of the query molecule. Validation with all compounds synthesized and tested in AstraZeneca Wilmington since 2006 demonstrates that this approach is useful for prioritizing new synthetic targets for synthesis.


Assuntos
Bioensaio/métodos , Química Farmacêutica/métodos , Desenho de Fármacos , Preparações Farmacêuticas/química , Relação Estrutura-Atividade
3.
J Med Chem ; 53(4): 1876-80, 2010 Feb 25.
Artigo em Inglês | MEDLINE | ID: mdl-20088516

RESUMO

We describe herein the discovery of novel, de novo designed, 5-HT(1B) receptor antagonists that lack a basic moiety and that provide improved hERG and in vitro phospholipidosis profiles. We used a known 5-HT(1B) antagonist template as our starting point and focused on replacing the piperazine moiety. Pyrazole-based ideas were designed and synthesized among a small library of piperazine replacements. To our knowledge, these are the first potent, nonbasic, functionally active antagonists of the 5-HT(1B) receptor.


Assuntos
Pirazóis/síntese química , Antagonistas do Receptor 5-HT1 de Serotonina , Animais , Ligação Competitiva , Células CHO , Técnicas de Química Combinatória , Cricetinae , Cricetulus , Desenho de Fármacos , Agonismo Parcial de Drogas , Canal de Potássio ERG1 , Canais de Potássio Éter-A-Go-Go/metabolismo , Cobaias , Humanos , Hipotermia/tratamento farmacológico , Lipidoses/induzido quimicamente , Lipidoses/metabolismo , Fosfolipídeos/metabolismo , Piperazinas/efeitos adversos , Piperazinas/síntese química , Piperazinas/farmacologia , Pirazóis/efeitos adversos , Pirazóis/farmacologia , Ensaio Radioligante , Agonistas do Receptor 5-HT1 de Serotonina , Relação Estrutura-Atividade
4.
J Med Chem ; 48(23): 7477-81, 2005 Nov 17.
Artigo em Inglês | MEDLINE | ID: mdl-16279807

RESUMO

In large-scale virtual screening (VS) campaigns, data are often computed for millions of compounds to identify leads, but there remains the task of prioritizing VS "hits" for experimental assays and the dilemma of assessing true/false positives. We present two statistical methods for mining large databases: (1) a general scoring metric based on the VS signal-to-noise level within a compound neighborhood; (2) a neighborhood-based sampling strategy for reducing database size, in lieu of property-based filters.


Assuntos
Bases de Dados Factuais , Preparações Farmacêuticas/química , Proteínas/química , Estatística como Assunto/métodos , Algoritmos , Sítios de Ligação , Ligantes , Modelos Moleculares , Probabilidade
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