BioMediTech and Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland.
Basic Clin Pharmacol Toxicol. 2018 Sep;123 Suppl 5:56-61. doi: 10.1111/bcpt.13075. Epub 2018 Sep 7.
Neuroinformatics is an area of science that aims to integrate neuroscience data and develop modern computational tools to increase our understanding of the functions of the nervous system in health and disease. Neuroinformatics tools include, among others, databases for storing and sharing data, repositories for managing documents and source code, and software tools for analysing, modelling and simulating signals and images. This MiniReview aims to present the state of the art in neuroinformatics and computational in silico modelling of neurobiological processes and neuroscientific phenomena as well as to discuss the use of in silico models in neurotoxicology research. In silico modelling can be considered a new, complementary tool in chemical design to predict potential neurotoxicity and in neurotoxicity testing to help clarify initial hypothesis obtained in in vitro and in vivo. Validated in silico models can be used to identify pharmacological targets, to help bridge in vitro and in vivo studies and, ultimately, to develop safer chemicals and efficient therapeutic strategies.
神经信息学是一门旨在整合神经科学数据并开发现代计算工具以增进我们对健康和疾病状态下神经系统功能理解的科学领域。神经信息学工具包括用于存储和共享数据的数据库、用于管理文档和源代码的存储库，以及用于分析、建模和模拟信号和图像的软件工具。这篇综述旨在介绍神经信息学和神经生物学过程及神经科学现象的计算计算建模的最新进展，并讨论在神经毒理学研究中使用计算模型。计算建模可以被视为化学设计中预测潜在神经毒性的一种新的补充工具，也可以用于神经毒性测试，以帮助阐明在体外和体内获得的初步假说。经过验证的计算模型可用于识别药理靶点，帮助弥合体外和体内研究之间的差距，并最终开发更安全的化学品和有效的治疗策略。
