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Advances in Molecular Modeling of Nanoparticle–Nucleic Acid Interfaces
- Source :
- Bioconjugate Chemistry. 28:3-10
- Publication Year :
- 2016
- Publisher :
- American Chemical Society (ACS), 2016.
-
Abstract
- Nanoparticles (NPs) play increasingly important roles in nanotechnology and nanomedicine in which nanoparticle surface chemistry allows for control over interactions with other nanoparticles and biomolecules. In particular, for applications in drug and gene delivery, a fundamental understanding of the NP-nucleic acid interface allows for development of more efficient and effective nanoparticle carriers. Computational modeling can provide insights of processes occurring at the inorganic NP-nucleic interface in detail that is difficult to access by experimental methods. With recent advances such as the use of graphics processing units (GPUs) for simulations, computational modeling has the potential to give unprecedented insight into inorganic-biological interfaces via the examination of increasingly large and complex systems. In this Topical Review, we briefly review computational methods relevant to the interactions of inorganic NPs and nucleic acids and highlight recent insights obtained from various computational methods that were applied to studies of inorganic nanoparticle-nanoparticle and nanoparticle-nucleic acid interfaces.
- Subjects :
- Models, Molecular
Molecular model
Interface (Java)
Biomedical Engineering
Complex system
Pharmaceutical Science
Nanoparticle
Bioengineering
Nanotechnology
02 engineering and technology
Ligands
010402 general chemistry
01 natural sciences
Nucleic Acids
Pharmacology
chemistry.chemical_classification
Chemistry
Biomolecule
Organic Chemistry
021001 nanoscience & nanotechnology
0104 chemical sciences
Topical review
Solvents
Nucleic acid
Nanoparticles
Nanomedicine
0210 nano-technology
Biotechnology
Subjects
Details
- ISSN :
- 15204812 and 10431802
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Bioconjugate Chemistry
- Accession number :
- edsair.doi.dedup.....a03e5b03f33f2fd44d423fb3067583b7
- Full Text :
- https://doi.org/10.1021/acs.bioconjchem.6b00534