Increased production, use and environmental accumulation of these nanomaterials present important toxicology concerns 5, 6, 7. The global market value of nanotechnology is expected to reach $90.5 billion by 2021 1 as commercial and consumer nano-products continue to rise 2, 3, 4. This database provides a public resource for data-driven nanoinformatics modeling research aimed at rational nanomaterial design and other areas of modern computational nanotechnology. Furthermore, the nanostructure annotation procedure generates 2142 nanodescriptors for all nanomaterials for machine learning purposes, which are also available through the portal. All the nanostructures are annotated and transformed into protein data bank files, which are downloadable by researchers worldwide. Each nanomaterial has up to six physicochemical properties and/or bioactivities, resulting in more than ten endpoints in the database. The database, which is publicly available through, contains 705 unique nanomaterials covering 11 material types. Here, we report the construction of a large nanomaterial database containing annotated nanostructures suited for modeling research.
However, the few nanomaterial databases available are not suitable for modeling studies due to the way they are curated.
Modern nanotechnology research has generated numerous experimental data for various nanomaterials.
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