TY - JOUR
T1 - Multistep Current Signal in Protein Translocation through Graphene Nanopores
AU - Bonome, Emma Letizia
AU - Lepore, Rosalba
AU - Raimondo, Domenico
AU - Cecconi, Fabio
AU - Tramontano, Anna
AU - Chinappi, Mauro
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUK-I1-012-43
Acknowledgements: This research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia and of the CINECA (GRAPUNA project). Funding: KAUST Award No. KUK-I1-012-43 made by King Abdullah University of Science and Technology (KAUST).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2015/4/28
Y1 - 2015/4/28
N2 - © 2015 American Chemical Society. In nanopore sensing experiments, the properties of molecules are probed by the variation of ionic currents flowing through the nanopore. In this context, the electronic properties and the single-layer thickness of graphene constitute a major advantage for molecule characterization. Here we analyze the translocation pathway of the thioredoxin protein across a graphene nanopore, and the related ionic currents, by integrating two nonequilibrium molecular dynamics methods with a bioinformatic structural analysis. To obtain a qualitative picture of the translocation process and to identify salient features we performed unsupervised structural clustering on translocation conformations. This allowed us to identify some specific and robust translocation intermediates, characterized by significantly different ionic current flows. We found that the ion current strictly anticorrelates with the amount of pore occupancy by thioredoxin residues, providing a putative explanation of the multilevel current scenario observed in recently published translocation experiments.
AB - © 2015 American Chemical Society. In nanopore sensing experiments, the properties of molecules are probed by the variation of ionic currents flowing through the nanopore. In this context, the electronic properties and the single-layer thickness of graphene constitute a major advantage for molecule characterization. Here we analyze the translocation pathway of the thioredoxin protein across a graphene nanopore, and the related ionic currents, by integrating two nonequilibrium molecular dynamics methods with a bioinformatic structural analysis. To obtain a qualitative picture of the translocation process and to identify salient features we performed unsupervised structural clustering on translocation conformations. This allowed us to identify some specific and robust translocation intermediates, characterized by significantly different ionic current flows. We found that the ion current strictly anticorrelates with the amount of pore occupancy by thioredoxin residues, providing a putative explanation of the multilevel current scenario observed in recently published translocation experiments.
UR - http://hdl.handle.net/10754/598919
UR - https://pubs.acs.org/doi/10.1021/acs.jpcb.5b02172
UR - http://www.scopus.com/inward/record.url?scp=84928966698&partnerID=8YFLogxK
U2 - 10.1021/acs.jpcb.5b02172
DO - 10.1021/acs.jpcb.5b02172
M3 - Article
C2 - 25866995
SN - 1520-6106
VL - 119
SP - 5815
EP - 5823
JO - The Journal of Physical Chemistry B
JF - The Journal of Physical Chemistry B
IS - 18
ER -