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A Novel Strategy for Mechanism Based Computational Drug Discovery:

机译:基于机制的计算药物发现的新策略:

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Glioma, the common brain tumor, which arises from the glial cells, offers worse prognosis and therapy than any other tumors. Despite the genetic and pathological diversities of malignant gliomas, common signaling pathways that drive cellular proliferation, survival, invasion and angiogenesis have been identified. Very often, various tyrosine kinase receptors are inappropriately activated in human brain tumors and contribute to tumor malignancy. During such tumourous states where multiple pathways are involved, a few of them are responsbile for cell differentiation, proliferation and anti-apoptosis. Computational simulation studies of normal EGFR signaling in glioma together with the mutant EGFR mediated signaling and the MAPK signaling in glioma were carried out. There were no significant cross talks observed between the mutant EGFR and the MAPK pathways and thus from the simulation results, we propose a novel concept of ‘multiple-targeting’ that combines EGFR and Ras targeted therapy thereby providing a better therapeutic value against glioma. Diallyl Disulfide (DADS) that has been commonly used for Ras inhibition in glioma was taken for analyses and the effect of inhibiting the EGFR downstream signaling protein with this DADS was analyzed using the simulation and docking studies.
机译:胶质瘤是由胶质细胞引起的常见脑部肿瘤,其预后和治疗均比其他任何肿瘤都差。尽管恶性神经胶质瘤的遗传和病理学多样性,已经确定了驱动细胞增殖,存活,侵袭和血管生成的常见信号通路。很多时候,各种酪氨酸激酶受体在人脑肿瘤中被不适当地激活,并导致肿瘤恶变。在涉及多个途径的这种肿瘤状态中,其中一些负责细胞分化,增殖和抗凋亡。进行了胶质瘤中正常EGFR信号转导以及胶质瘤中突变EGFR介导的信号转导和MAPK信号转导的计算模拟研究。在突变的EGFR和MAPK途径之间没有观察到明显的交叉对话,因此从模拟结果来看,我们提出了一种“多靶点”的新概念,将EGFR和Ras靶向治疗相结合,从而提供了更好的抗神经胶质瘤治疗价值。分析了胶质瘤中通常用于Ras抑制的二烯丙基二硫(DADS)进行分析,并使用模拟和对接研究分析了该DADS抑制EGFR下游信号蛋白的作用。

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