S1: Nanomaterials Design and Safety Assessment

eNanoMapper - A Database and Ontology Infrastructure for Nanomaterials Design and Safety Assessment

eNanoMapper - A Database and Ontology Infrastructure for Nanomaterials Design and Safety Assessment, OpenTox Euro 2016

Barry Hardy


Douglas Connect


Managing Director 


Barry Hardy1*, Markus Hegi1, Lucian Farcal1, Haralambos Sarimveis2, Philip Doganis2, Christoph Helma 3, Micha Rautenberg3, Denis Gebele3, Nina Jeliazkova 4, Bengt Fadeel 5, Gözde Kilic5, Gareth Owen6, Egon L. Willighagen7, Friederike Ehrhart7, Linda Rieswijk7, Vesa Hongisto8, Penny Nymark8, Pekka Kohonen8, Roland Grafström8

1Douglas Connect Switzerland, 2National Technical University of Athens, Greece, 3In Silico Toxicology, Switzerland, 4IdeaConsult, Bulgaria, 5Karolinska Institutet, Sweden, 6EMBL - European Bioinformatics Institute, Germany, 7Maastricht University, The Netherlands, 8Misvik Biology Oy, Finland


eNanoMapper1 is developing a data management and analysis infrastructure together with ontologies supporting the safety assessment activities of the European nanomaterials research and development community.

The project addresses the requirements of safety assessment of nanomaterials by providing databases, analysis tools and ontologies for risk assessment2 and linking them with existing resources in this area.

Ontology for nanosafety research is being developed to provide annotation of nanostructures and relevant biological properties, experimental model systems, conditions, and protocols, complex search and reasoning capabilities, and the integration of data from existing nanotoxicology sources3.

eNanoMapper addresses the issue of public domain and data sharing, and the establishment of a standardized schema and infrastructure for nanomaterials safety assessment4.

The project catalyzes collaboration, integrated analysis, and discoveries from data organised within a knowledge-based framework.

eNanoMapper supports the discovery of nanomaterial properties, and the identification of nano-bio interactions from linked datasets, ontologies and external data sources.

By interfacing with statistical and data mining tools, eNanoMapper aims to provide scientifically sound guidelines for experimental design as well as computational models for predicting nanotoxicity5.

These computational models will help to design safe nanomaterials and improve the risk assessment of existing nanoparticles.