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在发现阶段中联合运用药效基团模型和药物代谢及遗传毒性的“计算”研究。

Combined use of pharmacophoric models together with drug metabolism and genotoxicity "in silico" studies in the hit finding process.

机构信息

Instituto de Química Médica-CSIC, Juan de la Cierva 3, 28006 Madrid, Spain.

出版信息

J Comput Aided Mol Des. 2013 Jan;27(1):79-90. doi: 10.1007/s10822-012-9627-1. Epub 2013 Jan 8.

Abstract

In this study we propose a virtual screening strategy based on the generation of a pharmacophore hypothesis, followed by an in silico evaluation of some ADME-TOX properties with the aim to apply it to the hit finding process and, specifically, to characterize new chemical entities with potential to control inflammatory processes mediated by T lymphocytes such as multiple sclerosis, systemic lupus erithematosus or rheumatoid arthritis. As a result, three compounds with completely novel scaffolds were selected as final hits for future hit-to-lead optimization due to their anti-inflammatory profile. The biological results showed that the selected compounds increased the intracellular cAMP levels and inhibited cell proliferation in T lymphocytes. Moreover, two of these compounds were able to increase the production of IL-4, an immunoregulatory cytokine involved in the selective deviation of T helper (Th) immune response Th type 2 (Th2), which has been proved to have anti-inflammatory properties in several animal models for autoimmune pathologies as multiple sclerosis or rheumatoid arthritis. Thus our pharmacological strategy has shown to be useful to find molecules with biological activity to control immune responses involved in many inflammatory disorders. Such promising data suggested that this in silico strategy might be useful as hit finding process for future drug development.

摘要

在这项研究中,我们提出了一种基于生成药效团假设的虚拟筛选策略,然后对一些 ADME-TOX 性质进行计算机评估,旨在将其应用于发现命中化合物的过程中,特别是对具有控制炎症过程潜力的新化学实体进行特征描述,如多发性硬化症、系统性红斑狼疮或类风湿关节炎。结果,由于其抗炎特性,选择了三个具有全新骨架的化合物作为最终命中化合物,以进行进一步的优化。生物学结果表明,所选化合物增加了 T 淋巴细胞内的 cAMP 水平并抑制了细胞增殖。此外,其中两种化合物能够增加参与 T 辅助细胞(Th)免疫应答 Th2 型选择性偏向的免疫调节细胞因子 IL-4 的产生,在多发性硬化症或类风湿关节炎等几种自身免疫性疾病的动物模型中已证明其具有抗炎特性。因此,我们的药理策略已被证明有助于寻找具有控制参与许多炎症性疾病的免疫反应的生物活性的分子。这些有前景的数据表明,这种基于计算机的策略可能有助于作为未来药物开发的命中化合物发现过程。

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