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Quantitative Microscopic Observation of Base-Ligand Interactions via Hydrogen Bonds by Single-Molecule Counting.
Takashima, Yusuke; Komoto, Yuki; Ohshiro, Takahito; Nakatani, Kazuhiko; Taniguchi, Masateru.
Afiliação
  • Takashima Y; SANKEN, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka567-0047, Japan.
  • Komoto Y; SANKEN, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka567-0047, Japan.
  • Ohshiro T; Artificial Intelligence Research Center, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka567-0047, Japan.
  • Nakatani K; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), OsakaUniversity, 8-1 Mihogaoka, Ibaraki, Osaka567-0047, Japan.
  • Taniguchi M; SANKEN, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka567-0047, Japan.
J Am Chem Soc ; 145(2): 1310-1318, 2023 01 18.
Article em En | MEDLINE | ID: mdl-36597667
ABSTRACT
Chemical properties have been based on statistical averages since the introduction of Avogadro's number. The lack of suitable methods for counting identified single molecules has posed challenges to counting statistics. The selectivity, affinity, and mode of hydrogen bonding between base and small molecules that make up DNA, which is vital for living organisms, have not yet been revealed at the single molecule level. Here, we show the quantitation of the above-mentioned parameters via single-molecule counting based on the combination of single-molecule electrical measurements and AI. The binding selectivity values of five ligands to four different base molecules were evaluated quantitatively by determining the ratio of the number of aggregates in a solution mixture of base molecules and a ligand. In addition, we show the ligand dependence of the mode and number of microscopic hydrogen bonds via single-molecule counting and quantum chemical calculations.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: DNA Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: DNA Idioma: En Ano de publicação: 2023 Tipo de documento: Article