Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros










Base de dados
Intervalo de ano de publicação
1.
Tetrahedron Lett ; 48(36): 6364-6367, 2007 Sep 03.
Artigo em Inglês | MEDLINE | ID: mdl-21165151

RESUMO

The 2,6-dibromoindole 5 underwent regioselective Sonogashira coupling at the 2 position with simple acetylenic partners. While, the imidazole-acetylene 16 failed to couple to 5, the cyclic carbonate 19 succeeded to give 20, which was further elaborated into the indole-imidazole 23.

2.
J Chem Inf Comput Sci ; 42(5): 1204-11, 2002.
Artigo em Inglês | MEDLINE | ID: mdl-12377010

RESUMO

Using a data set comprised of literature compounds and structure-activity data for cyclin dependent kinase 2, several pharmacophore hypotheses were generated using Catalyst and evaluated using several criteria. The two best were used in retrospective searches of 10 three-dimensional databases containing over 1,000,000 proprietary compounds. The results were then analyzed for the efficiency with which the hypotheses performed in the areas of compound prioritization, library prioritization, and library design. First as a test of their compound prioritization capabilities, the pharmacophore models were used to search combinatorial libraries that were known to contain CDK active compounds to see if the pharmacophore models could selectively choose the active compounds over the inactive compounds. Second as a test of their utility in library design again the pharmacophore models were used to search the active combinatorial libraries to see if the key synthons were over represented in the hits from the pharmacophore searches. Finally as a test of their ability to prioritize combinatorial libraries, several inactive libraries were searched in addition to the active libraries in order to see if the active libraries produced significantly more hits than the inactive libraries. For this study the pharmacophore models showed potential in all three areas. For compound prioritization, one of the models selected active compounds at a rate nearly 11 times that of random compound selection though in other cases models missed the active compounds entirely. For library design, most of the key fragments were over represented in the hits from at least one of the searches though again some key fragments were missed. Finally, for library prioritization, the two active libraries both produced a significant number of hits with both pharmacophore models, whereas none of the eight inactive libraries produced a significant number of hits for both models.


Assuntos
Quinases relacionadas a CDC2 e CDC28 , Técnicas de Química Combinatória , Avaliação Pré-Clínica de Medicamentos/estatística & dados numéricos , Sequência de Aminoácidos , Sítios de Ligação , Simulação por Computador , Quinase 2 Dependente de Ciclina , Quinases Ciclina-Dependentes/antagonistas & inibidores , Quinases Ciclina-Dependentes/química , Quinases Ciclina-Dependentes/genética , Desenho de Fármacos , Inibidores Enzimáticos/química , Inibidores Enzimáticos/farmacologia , Técnicas In Vitro , Modelos Moleculares , Dados de Sequência Molecular , Proteínas Serina-Treonina Quinases/antagonistas & inibidores , Proteínas Serina-Treonina Quinases/química , Proteínas Serina-Treonina Quinases/genética
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...