TY  - JOUR
A1  - Shityakov, Sergey
A1  - Broscheit, Jens
A1  - Förster, Carola
T1  - Multidrug resistance protein P-gp interaction with nanoparticles (fullerenes and carbon nanotube) to assess their drug delivery potential: a theoretical molecular docking study.
JF  - International journal of computational biology and drug design
N2  - 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 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.
KW  - SWCNT CNTs
KW  - pi-pi stacking
KW  - mean force potential
KW  - Gibbs free energy of binding
KW  - molecular docking
KW  - shape-based approach
KW  - Lamarckian genetic algorithms
KW  - gradient optimisation
KW  - drug delivery
KW  - multidrug resistance
KW  - P-glycoprotein
KW  - carbon nanoparticles
KW  - fullerenes
KW  - single-walled carbon nanotubes
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-132089
VL  - 6
IS  - 4
ER  -