Nina Jeliazkova

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: The FAIR-aligned Nanosafety Data Interface (FAIR-NIDS) as mentioned in this paper is a standard for the efficient reuse of nanosafety data, in line with the recently established FAIR (findable, accessible, interoperable and reusable) guiding principles.

TL;DR: It is shown that more efforts are needed to properly develop and validate in silico models for hazard prediction as alternatives to in vivo tests, and a roadmap for future research in this area is proposed, including the adoption of more advanced Machine Learning techniques.

TL;DR: An exhaustive comparison of the Ambit‐Tautomer Incremental algorithm against several other software packages which offer tautomer generation: ChemAxon Marvin, Molecular Networks MN, ACDLabs, CACTVS and the CDK implementation of the algorithm are performed.