| scholarly article | Q13442814 |
| P50 | author | Bing Yan | Q48161020 |
| Wenyi Wang | Q96180065 | ||
| P2093 | author name string | Hongyu Zhou | |
| Linlin Zhao | |||
| Hao Zhu | |||
| Alexander Sedykh | |||
| Hainan Sun | |||
| Daniel P Russo | |||
| P2860 | cites work | Understanding biophysicochemical interactions at the nano-bio interface | Q23909863 |
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| Computer-aided design of carbon nanotubes with the desired bioactivity and safety profiles | Q28829021 | ||
| Protein Data Bank (PDB): database of three-dimensional structural information of biological macromolecules | Q30560203 | ||
| Using experimental data of Escherichia coli to develop a QSAR model for predicting the photo-induced cytotoxicity of metal oxide nanoparticles | Q30722652 | ||
| Developing Enhanced Blood-Brain Barrier Permeability Models: Integrating External Bio-Assay Data in QSAR Modeling | Q30929535 | ||
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| Nanotechnology, energy and markets. | Q50603842 | ||
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| P4510 | describes a project that uses | ImageJ | Q1659584 |
| P433 | issue | 12 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | nanostructure | Q1093894 |
| nanoparticle | Q61231 | ||
| P1104 | number of pages | 9 | |
| P304 | page(s) | 12641-12649 | |
| P577 | publication date | 2017-11-17 | |
| P1433 | published in | ACS Nano | Q2819067 |
| P1476 | title | Predicting Nano-Bio Interactions by Integrating Nanoparticle Libraries and Quantitative Nanostructure Activity Relationship Modeling | |
| P478 | volume | 11 |
| Q90096114 | Big Data and Artificial Intelligence Modeling for Drug Discovery |
| Q95318831 | Construction of a web-based nanomaterial database by big data curation and modeling friendly nanostructure annotations |
| Q54977270 | Nanoinformatics Revolutionizes Personalized Cancer Therapy. |
| Q91118452 | Universal nanohydrophobicity predictions using virtual nanoparticle library |
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