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Scope
Predictive Toxicology aims to publish major research work with the potential of realizing the most important specific objectives in the field, i.e., to reliably predict toxicity in humans. This encompasses studies to elucidate the dose-effect relationship of toxicity of xenobiotics and other substances, to identify the cellular and molecular pathways leading to toxicity, and to elaborate quantitative relationships between dose-concentration–time and effect. We welcome papers dealing with all aspects of toxicity with a special focus on non-animal test systems; examples are systems in silico, in vitro, ex vivo, stem cells artificial platforms, or high-throughput systems and their combination with innovative tools and techniques such as omics techniques combined with modeling and simulation. Predictive Toxicology is primarily focused on human derived systems and human outcomes, animal systems might be helpful in achieving this goal. Modern toxicology is a typical translational science and it is the aim of Predictive Toxicology to contribute to the aim in transforming toxicology testing from primarily observational science to a truly predictive science for the benefit of drug development, chemical risk assessment, and food safety.Tentative list of areas: - In vitro systems (- tissue-selective toxicity) - High-throughput systems (- pathway specific toxicity) - Pathway specific effects - Computational systems for the extrapolation from in vitro results to in vivo effect size
Indexed in: PubMed, PubMed Central, Scopus, Web of Science, Google Scholar, DOAJ, CrossRef, Chemical Abstracts Service (CAS)
PMCID: all published articles receive a PMCID
Predictive Toxicology welcomes submissions of the following article types: Book Review, Case Report, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Specialty Grand Challenge and Technology and Code.
All manuscripts must be submitted directly to the section Predictive Toxicology, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Predictive Toxicology will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Pharmacology.
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Switzerland
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