Single-molecule spectroscopy of amino acids and peptides by recognition tunnelling

Nature Nanotechnology

Volumn 9, Issue 6, 2014, Pages 466-473

  Zhao, Yanan ^a   Ashcroft, Brian ^a   Zhang, Peiming ^a   Liu, Hao ^a   Sen, Suman ^a   Song, Weisi ^a   Im, Jongone ^a   Gyarfas, Brett ^a   Manna, Saikat ^a   Biswas, Sovan ^a   Borges, Chad ^a   Lindsay, Stuart ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS; ISOMERS; LEARNING ALGORITHMS; MACHINE LEARNING; NUCLEIC ACIDS; PEPTIDES; RNA; TUNNEL JUNCTIONS;

CRITICAL STEPS; LOW CONCENTRATIONS; MOLECULAR MOTORS; POST-TRANSLATIONAL MODIFICATIONS; PROTEIN SEQUENCING; PROTEIN VARIANTS; SINGLE MOLECULE; SINGLE MOLECULE SPECTROSCOPY;

POLYMERASE CHAIN REACTION;

AMINO ACID; MOLECULAR MOTOR; PEPTIDE; PROTEIN;

ARTICLE; CONTROLLED STUDY; ELECTRODE; ELECTROSPRAY MASS SPECTROMETRY; ENANTIOMER; ISOMER; MACHINE LEARNING; MOLECULAR ELECTRONICS; MOLECULAR RECOGNITION; MOLECULE; NANOPORE; PRIORITY JOURNAL; PROTEIN BINDING; PROTEIN METHYLATION; PROTEIN MOTIF; PROTEOMICS; SCANNING TUNNELING MICROSCOPY; SEQUENCE ANALYSIS; STOICHIOMETRY; SUPPORT VECTOR MACHINE;

ALGORITHMS; ALTERNATIVE SPLICING; AMINO ACIDS; ARTIFICIAL INTELLIGENCE; HUMANS; PEPTIDE MAPPING; PEPTIDES; PROTEOME; SPECTRUM ANALYSIS;

EID: 84902295162     PISSN: 17483387     EISSN: 17483395     Source Type: Journal    
DOI: 10.1038/nnano.2014.54     Document Type: Article

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