ReviewInternational journal of molecular sciences2014
Nanoinformatics: emerging databases and available tools.
Review in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Machine learning reshapes the paradigm of nanomedicine research.Acta pharmaceutica Sinica. B · 2026Review
- Leveraging Artificial Intelligence and Machine Learning for Characterizing Protein Corona, Nanobiological Interactions, and Advancing Drug Discovery.Bioengineering (Basel, Switzerland) · 2025Review
- Molecular Docking Approach for Biological Interaction of Green Synthesized Nanoparticles.Molecules (Basel, Switzerland) · 2024Review
- In Silico Simulation of Impacts of Metal Nano-Oxides on Cell Viability in THP-1 Cells Based on the Correlation Weights of the Fragments of Molecular Structures and Codes of Experimental Conditions Represented by Means of Quasi-SMILES.International journal of molecular sciences · 2023Article
- Nanoinformatics and Personalized Medicine: An Advanced Cumulative Approach for Cancer Management.Current medicinal chemistry · 2023Review
- Big Data in a Nano World: A Review on Computational, Data-Driven Design of Nanomaterials Structures, Properties, and Synthesis.ACS nano · 2022Review
- Merging data curation and machine learning to improve nanomedicines.Advanced drug delivery reviews · 2022Review
- Tumor Targeting by αACS nano · 2020Article
- Review
- Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources.Scientific reports · 2018Article
- Modeling of Interactions between the Zebrafish Hatching Enzyme ZHE1 and A Series of Metal Oxide Nanoparticles: Nano-QSAR and Causal Analysis of Inactivation Mechanisms.Nanomaterials (Basel, Switzerland) · 2017Article
- Toward a systematic exploration of nano-bio interactions.Toxicology and applied pharmacology · 2017Review
- Nano-Synthetic Devices in Leishmaniasis: A Bioinformatics Approach.Frontiers in immunology · 2015Review
- The eNanoMapper database for nanomaterial safety information.Beilstein journal of nanotechnology · 2015Article
- Using natural language processing techniques to inform research on nanotechnology.Beilstein journal of nanotechnology · 2015Review
- Modeling Population Exposures to Silver Nanoparticles Present in Consumer Products.Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nanotechnology has arisen as a key player in the field of nanomedicine. Although the use of engineered nanoparticles is rapidly increasing, safety assessment is also important for the beneficial use of new nanomaterials. Considering that the experimental assessment of new nanomaterials is costly and laborious, in silico approaches hold promise. Several major challenges in nanotechnology indicate a need for nanoinformatics. New database initiatives such as ISA-TAB-Nano, caNanoLab, and Nanomaterial Registry will help in data sharing and developing data standards, and, as the amount of nanomaterials data grows, will provide a way to develop methods and tools specific to the nanolevel. In this review, we describe emerging databases and tools that should aid in the progress of nanotechnology research.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.