化学多目标轮廓的预测和系统毒理学的不良结果

Title:Prediction of Chemical Multi-target Profiles and Adverse Outcomes with Systems Toxicology

Volume: 24 Issue: 16

关键词: 不良反应途径，不良反应，生物网络模型，计算毒理学，药物开发，环境毒理学，多靶化合物，网络分析，系统毒理学。

摘要: The field of systems biology, termed systems toxicology when applied to the characterization of adverse outcomes following chemical exposure, seeks to develop biological networks to explain phenotypic responses. Ideally, these are qualitatively and quantitatively similar to the actual network of biological entities that have functional consequences in living organisms. In this review, computational tools for predicting chemicalprotein interactions of multi-target compounds are outlined. Then, we discuss how the methods of systems toxicology currently draw on those interactions to predict resulting adverse outcomes which include diseases, adverse drug reactions, and toxic endpoints. These methods are useful for predicting the safety of drugs in drug development and the toxicity of environmental chemicals (ECs) in environmental toxicology.

Cite this article as:

Prediction of Chemical Multi-target Profiles and Adverse Outcomes with Systems Toxicology, Current Medicinal Chemistry 2017; 24 (16) . https://dx.doi.org/10.2174/0929867323666161214115540