Binomial distribution for quantification of protein subunits in biological Nanoassemblies and functional nanomachines

Nanomedicine: Nanotechnology, Biology, and Medicine

Volumn 10, Issue 7, 2014, Pages 1433-1440

  Fang, Huaming ^a   Zhang, Peng ^b   Huang, Lisa P ^c   Zhao, Zhengyi ^a   Pi, Fengmei ^a   Montemagno, Carlo ^d   Guo, Peixuan ^a  

^a UNIVERSITY OF KENTUCKY   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^c Genesis Biotechnology Group   (United States)

^d UNIVERSITY OF ALBERTA   (Canada)

Author keywords

ATPase; Copy number quantification; Nanobiotechnology; Phi29; Viral DNA packaging

Indexed keywords

BINDING ENERGY; BIOLOGY; BIOMIMETIC PROCESSES; DIAGNOSIS; DNA; DNA SEQUENCES; NANOBIOTECHNOLOGY; NANOSTRUCTURED MATERIALS; STOICHIOMETRY;

ATPASE; BINDING AFFINITIES; BINOMIAL DISTRIBUTION; COPY NUMBER; MATHEMATICAL METHOD; ORDERED STRUCTURES; PHI29; VIRAL DNA;

GENE ENCODING;

ADENOSINE TRIPHOSPHATASE; BIOMIMETIC MATERIAL; MUTANT PROTEIN; NANOMATERIAL; PROTEIN;

ARTICLE; BACTERIOPHAGE; BINDING AFFINITY; BINOMIAL DISTRIBUTION; CONTROLLED STUDY; DNA PACKAGING; GENE DOSAGE; MATHEMATICAL PARAMETERS; MOTOR PERFORMANCE; NANOBIOTECHNOLOGY; NANODEVICE; NANOMOTOR; PROTEIN ANALYSIS; PROTEIN ASSEMBLY; PROTEIN BINDING; PROTEIN DETERMINATION; PROTEIN LOCALIZATION; PROTEIN SUBUNIT; QUANTITATIVE ANALYSIS; STOICHIOMETRY; WILD TYPE; CHEMISTRY; THEORETICAL MODEL;

DNA PACKAGING; MODELS, THEORETICAL; NANOSTRUCTURES; PROTEINS;

EID: 84912150523     PISSN: 15499634     EISSN: 15499642     Source Type: Journal    
DOI: 10.1016/j.nano.2014.03.005     Document Type: Article

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