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2.
Bioorg Med Chem ; 21(24): 7674-85, 2013 Dec 15.
Artículo en Inglés | MEDLINE | ID: mdl-24216094

RESUMEN

In this study, we describe the synthesis and structure-activity relationship (SAR) of a series of isoquinoline chemoattractant receptor-homologous molecule expressed on Th2 cells (CRTH2) antagonists. TASP0376377 (15-20), one of the most potent compounds, showed a potent binding affinity (IC50=19 nM) in addition to the excellent functional antagonist activity (IC50=13 nM). Moreover, the efficacy of this compound in a chemotaxis assay (IC50=23 nM) was in good agreement with its potency as a CRTH2 antagonist. In addition, 15-20 exhibited greater selectivity in binding to CRTH2 than to the DP1 prostanoid receptor (IC50 >1 µM) or the enzymes COX-1 and COX-2 (IC50 >10 µM).


Asunto(s)
Diseño de Fármacos , Isoquinolinas/farmacología , Receptores Inmunológicos/antagonistas & inhibidores , Receptores de Prostaglandina/antagonistas & inhibidores , Relación Dosis-Respuesta a Droga , Humanos , Isoquinolinas/síntesis química , Isoquinolinas/química , Modelos Moleculares , Estructura Molecular , Relación Estructura-Actividad , Células Th2
3.
J Chem Inf Comput Sci ; 43(4): 1269-75, 2003.
Artículo en Inglés | MEDLINE | ID: mdl-12870920

RESUMEN

The concept of drug-likeness, an important characteristic for any compound in a screening library, is nevertheless difficult to pin down. Based on our belief that this concept is implicit within the collective experience of working chemists, we devised a data set to capture an intuitive human understanding of both this characteristic and ease of synthesis, a second key characteristic. Five chemists assigned a pair of scores to each of 3980 diverse compounds, with the component scores of each pair corresponding to drug-likeness and ease of synthesis, respectively. Using this data set, we devised binary classifiers with an artificial neural network and a support vector machine. These models were found to efficiently eliminate compounds that are not drug-like and/or hard-to-synthesize derivatives, demonstrating the suitability of these models for use as compound acquisition filters.


Asunto(s)
Técnicas Químicas Combinatorias/métodos , Preparaciones Farmacéuticas/química , Redes Neurales de la Computación , Preparaciones Farmacéuticas/síntesis química , Relación Estructura-Actividad
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