Supporting Information for Geometrical effect in 2D Nanopores
نویسندگان
چکیده
1Laboratory of Nanoscale Biology, Institute of Bioengineering, School of Engineering, EPFL, 1015 Lausanne, Switzerland 2Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, Illinois 61801, United States 3Department of Electrical and Computer Engineering, University of Illinois, Urbana, Illinois 61801, United States 4Department of Engineering, University of Cambridge, JJ Thomson Avenue, CB3 0FA Cambridge, United Kingdom 5Centre Interdisciplinaire de Microscopie Électronique (CIME), EPFL, 1015 Lausanne, Switzerland 6Institute of Materials, EPFL, 1015 Lausanne, Switzerland 7Laboratory of Nanoscale Electronics and Structures, Institute of Electrical Engineering and Institute of Materials Science and Engineering, School of Engineering, EPFL, 1015 Lausanne, Switzerland 8Department of Physics, University of Illinois, Urbana, Illinois 61801, United States †Present address: State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China *Correspondence should be addressed [email protected] and [email protected] Tel: +41 21 693 7371 Fax: +41 21 693 7380
منابع مشابه
Geometrical Effect in 2D Nanopores.
A long-standing problem in the application of solid-state nanopores is the lack of the precise control over the geometry of artificially formed pores compared to the well-defined geometry in their biological counterpart, that is, protein nanopores. To date, experimentally investigated solid-state nanopores have been shown to adopt an approximately circular shape. In this Letter, we investigate ...
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Supporting Information Appendix
Methods Overview.Our computational approaches involve two stages: estimation of knowledge-based statistical potentials and Monte Carlo/ Simulated Annealing (MC/SA) sampling of 3D graphs. In the first stage, we develop knowledge-based statistical potentials based on 3D graph representations of non-redundant solved RNAs and statistical analysis of their 3D geometrical features, from parts to whol...
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