Multidrug resistance protein P-gp interaction with nanoparticles (fullerenes and carbon nanotube) to assess their drug delivery potential: a theoretical molecular docking study.
Please always quote using this URN: urn:nbn:de:bvb:20-opus-132089
- P-glycoprotein (P-gp)-mediated efflux system plays an important role to maintain chemical balance in mammalian cells for endogenous and exogenous chemical compounds. However, despite the extensive characterisation of P-gp potential interaction with drug-like molecules, the interaction of carbon nanoparticles with this type of protein molecule is poorly understood. Thus, carbon nanoparticles were analysed, such as buckminsterfullerenes (C20, C60, C70), capped armchair single-walled carbon nanotube (SWCNT or C168), and P-gp interactions usingP-glycoprotein (P-gp)-mediated efflux system plays an important role to maintain chemical balance in mammalian cells for endogenous and exogenous chemical compounds. However, despite the extensive characterisation of P-gp potential interaction with drug-like molecules, the interaction of carbon nanoparticles with this type of protein molecule is poorly understood. Thus, carbon nanoparticles were analysed, such as buckminsterfullerenes (C20, C60, C70), capped armchair single-walled carbon nanotube (SWCNT or C168), and P-gp interactions using different molecular docking techniques, such as gradient optimisation algorithm (ADVina), Lamarckian genetic algorithm (FastDock), and shape-based approach (PatchDock) to estimate the binding affinities between these structures. The theoretical results represented in this work show that fullerenes might be P-gp binders because of low levels of Gibbs free energy of binding (ΔG) and potential of mean force (PMF) values. Furthermore, the SWCNT binding is energetically unfavourable, leading to a total decrease in binding affinity by elevation of the residual area (Ares), which also affects the π-π stacking mechanisms. Further, the obtained data could potentially call experimental studies using carbon nanostructures, such as SWCNT for development of drug delivery vehicles, to administer and assess drug-like chemical compounds to the target cells since organisms probably did not develop molecular sensing elements to detect these types of carbon molecules.…
Author: | Sergey Shityakov, Jens Broscheit, Carola Förster |
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URN: | urn:nbn:de:bvb:20-opus-132089 |
Document Type: | Journal article |
Faculties: | Medizinische Fakultät / Klinik und Poliklinik für Anästhesiologie (ab 2004) |
Language: | English |
Parent Title (English): | International journal of computational biology and drug design |
Year of Completion: | 2013 |
Volume: | 6 |
Issue: | 4 |
Pagenumber: | 343-357 |
Source: | International Journal of Nanomedicine 2012:7 3211–3219. doi:10.2147/IJN.S31373 |
DOI: | https://doi.org/10.1504/IJCBDD.2013.056801 |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Tag: | Gibbs free energy of binding; Lamarckian genetic algorithms; P-glycoprotein; SWCNT CNTs; carbon nanoparticles; drug delivery; fullerenes; gradient optimisation; mean force potential; molecular docking; multidrug resistance; pi-pi stacking; shape-based approach; single-walled carbon nanotubes |
Release Date: | 2017/01/12 |
Licence (German): | CC BY-NC: Creative-Commons-Lizenz: Namensnennung, Nicht kommerziell |