About AOP Mechanistic Data-Oriented Coordination

This collection on Adverse Outcome Pathways (AOPs) looks to highlight AOPs for human health, with specific emphasis on leveraging biomedical resources and standardization efforts that enhance AOP FAIRness and computability. AOPs describe the mechanistic interaction of biological entities that produce an adverse response. How we catalog these interactions and associations contributes to our ability to understand mechanistic effects and apply this knowledge. Our ability to connect FAIR AOP data to other types of biological and toxicological data defines their utility, reuse, and interoperability and whether AOP data will have the potential to reduce animal testing in chemical and material safety assessments in the future.

The F1000Research platform, with its article versioning system, support for LaTeX and markdown submissions, and proper syntax highlighting, is particularly well-suited to publishing articles regarding tools and datasets.

We are inviting article contributions to the Mechanistic Data-Oriented Coordination Collection. We’re welcoming any submissions around AOP and biomedical data standards including workgroup efforts and initiatives, software and tools, FAIR data, and AI. 

This is a great opportunity to highlight your efforts and bring further visibility and impact to your work by having it featured as part of the Mechanistic Data-Oriented Coordination Collection