ReviewFrontiers in bioengineering and biotechnology2020
Nanoscale Self-Assembly for Therapeutic Delivery.
Review in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 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
93 citing papers in PubMed.
- Albumin Nanoparticles for Targeted Cancer Therapy: Mechanistic Insights Into Bio-Inspired Design and Clinical Translation.Biotechnology and bioengineering · 2026Review
- Nanomaterials as plant delivery carriers: transport mechanisms and design principles.Science China. Life sciences · 2026Review
- Light-controlled 1D to 2D 2,3-Diaminophenazine Self-assembly Transformation on Cu(111) Surface.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026Article
- Bioactive Hydrogels with D-Amino Acid RGD Mimics: A Therapeutic Strategy for Expeditious Infected Wound Closure.Advanced healthcare materials · 2026Article
- Self-Assembled Quercetin-Mecobalamin Nanoparticles Mitigate Ischemic Stroke Injury via Enhanced Neuroprotection and Microglial Modulation.ACS biomaterials science & engineering · 2026Article
- Click chemistry-based drug delivery systems for targeted cancer therapy.Materials today. Bio · 2026Review
- Chitosan-Nanoencapsulated Curcumin for the Treatment of Diabetic Foot Ulcers: A Review.Polymers · 2026Review
- Smart biomaterials for skeletal aging repair and regeneration.Bone research · 2026Review
- Molecular Design in l-Glutamic Acid-Based Peptide Assembly Dynamics Driven by Carbodiimide-Fueled Reaction Cycle.Biomacromolecules · 2026Article
- Dendrimers-based Hydrogels and Nanogels for Drug Delivery.Current pharmaceutical biotechnology · 2026Review
- Co-loading Radio-photosensitizer Agents on Polymer and Lipid-based Nanocarriers for Radio-photodynamic Therapy Purposes: Review.Current pharmaceutical design · 2026Review
- Multifunctional Aliphatic Diamine-Based Polynaphthoxazines: From Synthesis and Polymerization to Bioactivity and Photoluminescence.ACS omega · 2025Article
- Biodegradable Zwitterionic PLA-Based Nanoparticles: Design and Evaluation for pH-Responsive Tumor-Targeted Drug Delivery.Polymers · 2025Article
- Heavy-Atom-Free Aza-BODIPY Polymeric Nanoparticles for Theranostic-Guided Photodynamic Cancer Therapy.ACS applied bio materials · 2025Article
- Evaluating the Synergistic Antioxidant, Anti-microbial and Adsorbent Potential of Andrographis Paniculata Extract and Gold Nanoparticles.Cell biochemistry and biophysics · 2025Article
- Nanozyme-driven multifunctional dressings: moving beyond enzyme-like catalysis in chronic wound treatment.Military Medical Research · 2025Review
- Bionanotechnology: A Paradigm for Advancing Environmental Sustainability.Indian journal of microbiology · 2025Article
- Synergestic Protein-Green synthesized Nanoparticles Nanosystems: A Sustainable and Safe Approach for Cancer Theranostics.Nanotheranostics · 2025Review
- Molecular dynamics simulation in tissue engineering.BioImpacts : BI · 2025Review
- How Advanced are Self-Assembled Nanomaterials for Targeted Drug Delivery? A Comprehensive Review of the Literature.International journal of nanomedicine · 2025Review
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Self-assembly is the process of association of individual units of a material into highly arranged/ordered structures/patterns. It imparts unique properties to both inorganic and organic structures, so generated, via non-covalent interactions. Currently, self-assembled nanomaterials are finding a wide variety of applications in the area of nanotechnology, imaging techniques, biosensors, biomedical sciences, etc., due to its simplicity, spontaneity, scalability, versatility, and inexpensiveness. Self-assembly of amphiphiles into nanostructures (micelles, vesicles, and hydrogels) happens due to various physical interactions. Recent advancements in the area of drug delivery have opened up newer avenues to develop novel drug delivery systems (DDSs) and self-assembled nanostructures have shown their tremendous potential to be used as facile and efficient materials for this purpose. The main objective of the projected review is to provide readers a concise and straightforward knowledge of basic concepts of supramolecular self-assembly process and how these highly functionalized and efficient nanomaterials can be useful in biomedical applications. Approaches for the self-assembly have been discussed for the fabrication of nanostructures. Advantages and limitations of these systems along with the parameters that are to be taken into consideration while designing a therapeutic delivery vehicle have also been outlined. In this review, various macro- and small-molecule-based systems have been elaborated. Besides, a section on DNA nanostructures as intelligent materials for future applications is also included.
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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.