Computational Toxicology

Journal Title：Computational Toxicology

As an international peer-reviewed journal, Computational Toxicology plays an important role in advancing science in the field of toxicology. The journal not only focuses on the application of computational methods to the safety assessment of chemical substances, but also encourages interdisciplinary research in the fields of biology, chemistry, computer science, bioinformatics, physics, engineering, and more.

Particular emphasis is placed on the role of innovative computational techniques in predicting the potential effects of chemicals on human health and the environment, including toxicity, metabolic pathways, physicochemical properties and biological outcomes. In addition, the journal covers the application of big data in toxicology research, such as data integration, management, analysis, and the development and validation of computational models. The readership and authors include toxicologists, bioinformaticians, data scientists, chemists, pharmacologists, environmental scientists, and researchers and professionals in related fields. By publishing high-quality research papers, the journal provides a platform for these professionals to exchange the latest research results and methods.

《计算毒理学》作为一本国际同行评审期刊，扮演着推动毒理学领域科学发展的重要角色。该期刊不仅关注计算方法在化学物质安全性评估中的应用，而且鼓励跨学科的研究，涉及生物学、化学、计算机科学、生物信息学、物理学、工程学等多个领域。

期刊特别强调创新性计算技术在预测化学物质对人类健康和环境的潜在影响方面的作用，包括毒性、代谢途径、物理化学属性和生物归宿。此外，期刊还涵盖了大数据在毒理学研究中的应用，如数据整合、管理、分析，以及计算模型的开发和验证。读者群和作者群包括毒理学家、生物信息学家、数据科学家、化学家、药理学家、环境科学家以及相关领域的研究人员和专业人士。通过发表高质量的研究论文，该期刊为这些专业人员提供了一个交流最新研究成果和方法的平台。

Computational Toxicology由Elsevier出版商出版，收稿方向涵盖Computer Science - Computer Science Applications全领域，影响因子指数3.1，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。