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Modeling of signaling pathways for endocrine disrupters

机译:内分泌干​​扰物信号通路的建模

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摘要

The so called endocrine disrupters have become an important working hypothesis for a wide range of toxicology researchers. This hypothesis has also attracted those who have worked on designer estrogens or selective estrogen receptor modulators. Already numbers of substances have been identified as such chemicals, but there remain a large number of chemicals waiting to be tested for their endocrine modulating capabilities. Because of the time and costs required for wet lab tests, it is unrealistic to apply these kinds of tests to all such suspicious or probable chemicals. Thus some theoretical methods must be developed for this purpose. However the conventional QSAR (quantitative structure activity relationships) approach is of limited relevance to this problem, because these methods do not take detailed mechanisms of molecular interactions in biological systems into account. Thus we have developed a database complex system that enables one to trace molecular interactions triggered by interaction of receptors with xenobiotic chemicals. The main components of this database complex are a potential endocrine disrupter database. a receptor database, a cell signaling networks database, a transcription factor database, and an affinity binding database based on modes of actions. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved. [References: 12]
机译:所谓的内分泌干扰物已成为众多毒理学研究人员的重要工作假设。该假设也吸引了从事设计雌激素或选择性雌激素受体调节剂研究的人员。已经确定了许多物质为此类化学物质,但仍有大量化学物质等待内分泌调节能力的测试。由于进行湿实验室测试需要时间和成本,因此将此类测试应用于所有此类可疑或可能的化学物质是不现实的。因此,必须为此目的开发一些理论方法。但是,传统的QSAR(定量结构活性关系)方法与该问题的相关性有限,因为这些方法没有考虑生物系统中分子相互作用的详细机理。因此,我们开发了一个数据库复杂的系统,该系统可以跟踪由受体与异种生物化学物质相互作用触发的分子相互作用。该数据库群的主要组成部分是潜在的内分泌干扰物数据库。基于作用方式的受体数据库,细胞信号网络数据库,转录因子数据库和亲和力结合数据库。 (C)2000 Elsevier Science Ireland Ltd.保留所有权利。 [参考:12]

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