About this Research Topic

Background

This Research Topic is part of the Methods and Application in Predictive Toxicology: 2021 series.

Methods and Application in Pharmacology of Anti-Cancer Drugs: 2021
Methods and Application in Cardiovascular and Smooth Muscle Pharmacology: 2021
Methods and Application in Integrative and Regenerative Pharmacology: 2021
Methods and Application in Drug Metabolism and Transport: 2021
Methods and Application in Predictive Toxicology: 2021

Please submit your article to the Research Topic that best suits the focus of your research.

Introduction and general guidelines

This series aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in Predictive Toxicology research from prediction of drug safety to 3-D models in assessment of topical toxicity. Research can show computational modeling approaches including QSAR, PBPK, and machine learning. Research may utilize in silico databases, computational tools, and in vitro new approach methodologies (NAMs) which aid next generation risk assessments (NGRAs) prediction of target organ toxicities. Review articles or opinions on methodologies or applications including the advantages and limitations of each are welcome. This Topic will highlight technologies and up-to-date methods which help advance science.

The contributions to this collection will undergo peer-review. Novelty may vary, but the utility of a method or protocol must be evident. We welcome contributions covering all aspects of Predictive Toxicology. Submissions will be handled by the team of Topic Editors in the respective sections.

Frontiers in Pharmacology supports the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management and stewardship (Wilkinson et al., Sci. Data 3:160018, 2016).

This Research Topic welcomes:
• Methods: Describing either new or existing methods that are significantly improved or adapted for specific purposes. These manuscripts may include primary (original) data.
• Perspective or General Commentaries on methods and protocols relevant for Predictive Toxicology research.
• Reviews and mini-reviews of topical methods and protocols highlighting the important future directions of the field.

For more information on the description and formats of the different article types please see here.

Predictive Toxicology Guidelines

Substantial progress has been made in understanding how drugs and other chemicals cause toxicity in vivo, in humans and experimental animals.

This is being used to devise novel predictive tools and methods, which now are being used to aid more efficient development of safe and effective drugs and to assess the safety of chemicals present in cosmetics, foodstuffs, household products etc.

Submissions are encouraged which highlight useful tools and methods, provide useful insights into their value and limitations, and illustrate how they can be used to support safety risk assessments.

Keywords: In Silico Toxicology, In Vitro Organotypic Assays, Computational Methods, New Approach Methodologies, Next Generation Risk Assessments, PBPK, QSAR, Machine Learning, Artificial Intelligence, Organoid models, Toxicity prediction

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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