ArticleACS nano2025
AI-Based Prediction of Protein Corona Composition on DNA Nanostructures.
Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-Analysis and Machine Learning Prediction of Protein Corona Composition across Nanoparticle Systems in Biological Media.ACS nano · 2025Pooled it
- Nano-antimicrobial peptides (Nano-AMPs) to combat resistant gram-negative bacteria.Drug delivery and translational research · 2026Review
- Review
- Review
- Multidimensional Protein Corona Analysis Toward Predictive Nano-Bio Interface Design.Small methods · 2026Review
- Leveraging nanoparticle protein corona to advance plasma proteome profiling.Nature communications · 2026Review
- De novo design of DNA origami with a generative diffusion model.Nature communications · 2026Article
- DNA Nanostructures for siRNA Delivery.Bioconjugate chemistry · 2026Review
- Advancing nanomedicine with machine learning: predicting protein corona and nano-bio interactions.Nanomedicine (London, England) · 2026Review
- Programmable Lipid Functionalization of Nucleic Acid Nanoparticles Modulates Liver Cell-Type Targeting.ACS applied materials & interfaces · 2026Article
- Novel AI-Driven Precision Strategies in Diabetic Wound Healing: Immunomodulation and Advances in Smart Composite Nanocarriers.Pharmaceutics · 2026Review
- AI-driven nanomedicine for cancer theranostics.Molecular cancer · 2026Review
- Recent advances in cancer nanomedicine: From smart targeting to personalized therapeutics - pioneering a new era in precision oncology.Materials today. Bio · 2026Review
- Machine Learning-Assisted DNA Origami Shape Sorting Using Fingerprinting Nanosensors and Feature Engineering.Analytical chemistry · 2026Article
- Emerging nano-immunotherapeutic strategies achieve metastatic colorectal cancer precision therapy.Journal of nanobiotechnology · 2026Review
- Advancing Drug Discovery with AI: Machine and Deep Learning Strategies for Target Identification and Precision Nanomedicine.International journal of nanomedicine · 2026Review
- Decoy Nanoparticles and Protein Corona Modulation: A Novel Frontier in Sepsis Treatment.International journal of nanomedicine · 2026Review
- Rethinking analytical approaches to nanoparticles protein corona heterogeneity: a call for innovation.Nanomedicine (London, England) · 2025Article
- Review
- Emerging Approaches for the Discovery of Lipid-Based RNA Delivery Systems.Pharmaceutics · 2025Review
Corrections and comments
- Update of
Authors and funding
4 authors.
Funding
Abstract
DNA nanotechnology has emerged as a powerful approach to engineering biophysical tools, therapeutics, and diagnostics because it enables the construction of designer nanoscale structures with high programmability. Based on DNA base pairing rules, nanostructure size, shape, surface functionality, and structural reconfiguration can be programmed with a degree of spatial, temporal, and energetic precision that is difficult to achieve with other methods. However, the properties and structure of DNA constructs are greatly altered
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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.