Reproducibility, sharing and progress in nanomaterial databases
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Much of the information on potential repurposing opportunities can already be gleaned from public sources.
“Much of this information on potential repurposing opportunities can already be gleaned from public sources69.”
From Exploiting machine learning for end-to-end drug discovery and development (2019) · cites this paper as [69]
High-precision microfluidic and micropatterning techniques for the production of highly mono-disperse nanoparticles with uniform physicochemical properties and greatly reduced batch-to-batch variability are rapidly gaining attention.
“Compared with bulk-synthesis techniques that largely rely on solution-based chemistry, high-precision microfluidic and micropatterning techniques for the production of highly mono-disperse nanoparticles with uniform physicochemical properties and greatly reduced batch-to-batch variability are rapidly gaining attention90,91.”
From How to design preclinical studies in nanomedicine and cell therapy to maximize the prospects of clinical translation (2018) · cites this paper as [91]
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Cites
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Research works printed but not linked: 2
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Cited by
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Exploiting machine learning for end-to-end drug discovery and development
Ekins, S., Puhl, A. C., Zorn, K. M., Lane, T. R., Russo, D. P., Klein, J. J., Hickey, A. J., & Clark, A. M. (2019) · Nature Materials · doi:10.1038/s41563-019-0338-z · Cited by 578 · see citing works
Self-citationIoannidis, J. P. A., Kim, B. Y. S., & Trounson, A. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0314-y · Cited by 175 · see citing works
- Authors
- Tropsha, A., Mills, K. C., & Hickey, A. J.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- RTI International (US)
- Corresponding author
- Tropsha, Alexander
- Venue
- Nature Nanotechnology
- Published
- 2017-12
- Volume
- 12
- Issue
- 12
- Pages
- 1111-1114
- ISSN
- 1748-3387 (ISSN-L)
- 1748-3395
- PMC
- PMC9472480
- OpenAlex
- W2775240084
- Cited by
- 54
- References
- 24
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 5 · 2023: 3 · 2022: 8 · 2021: 9 · 2020: 3 · 2019: 8 · 2018: 7 · 2017: 2
- FWCI
- 10.20
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Nanotechnology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- National Institutes of Health (5u01ca207160-03, U01CA207160)
- National Heart, Lung, and Blood Institute (HHSN268201000002C)
- National Cancer Institute (U01 CA207160, U54CA198999)
- National Institute of Environmental Health Sciences
- National Institute of Biomedical Imaging and Bioengineering (HHSN268201000022C)
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Keywords
- reproducibility, data sharing, nanomaterials, research data management, open data
- MeSH terms
- Databases, Factual, Nanotechnology, Nanostructures
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