Electrophoretic Deformation of Individual Transfer RNA Molecules Reveals Their Identity

Nano Letters

Volumn 16, Issue 1, 2016, Pages 138-144

  Henley, Robert Y ^a   Ashcroft, Brian Alan ^d   Farrell, Ian ^b   Cooperman, Barry S ^c   Lindsay, Stuart M ^d   Wanunu, Meni ^a  

^a NORTHEASTERN UNIVERSITY   (United States)

^b Anima Cell Metrology Inc   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d ARIZONA STATE UNIVERSITY   (United States)

Author keywords

nanopores; RNA; single molecule; SVM; tRNA

Indexed keywords

ARTIFICIAL INTELLIGENCE; BINARY MIXTURES; LEARNING ALGORITHMS; LEARNING SYSTEMS; MOLECULES; NANOPORES; PROTEINS;

PROTEIN TRANSLATION; SINGLE MOLECULE; STRUCTURAL DIFFERENCES; SYNTHETIC NANOPORES; TIME-SCALES; TRANSFER RNAS; TRNA;

RNA;

TRANSFER RNA;

BINDING SITE; CHEMISTRY; ELECTROPHORESIS; GENETICS; KINETICS; MACHINE LEARNING; NANOPORE; PROTEIN SYNTHESIS; RIBOSOME;

BINDING SITES; ELECTROPHORESIS; KINETICS; MACHINE LEARNING; NANOPORES; PROTEIN BIOSYNTHESIS; RIBOSOMES; RNA, TRANSFER;

EID: 84957543203     PISSN: 15306984     EISSN: 15306992     Source Type: Journal    
DOI: 10.1021/acs.nanolett.5b03331     Document Type: Article

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