Georgia Tsiliki

TL;DR: It is demonstrated how the eNanoMapper database is used to import and publish online ENM and assay data from several data sources, how the “representational state transfer” (REST) API enables building user friendly interfaces and graphical summaries of the data, and how these resources facilitate the modelling of reproducible quantitative structure–activity relationships for nanomaterials (NanoQSAR).

TL;DR: The eNanoMapper project as discussed by the authors is a pan-European computational infrastructure for toxicological data management for ENM, based on semantic web standards and ontologies, which is used for the development of the eNANOMAP ontology based on the existing ontologies of relevance for the nanosafety domain.

TL;DR: Recommendations for achieving integration of existing operational nanotechnology resources and nanotechnology-specific data integration challenges, if effectively resolved, can foster the application and validation of nanotechnology within and across disciplines.

TL;DR: A 6-step workflow that integrated diverse types of toxicology data into a novel AOP scheme for pulmonary fibrosis, coupled with a network of functional elements, resulting in a novel, open-source AOP-linked molecular pathway.

TL;DR: Good performance as well as its adaptability in terms of parameter optimization could make RRegrs a popular framework to assist the initial exploration of predictive models, and with that, the design of more comprehensive in silico screening applications.