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Interactive computational and experimental approaches improve the sensitivity of periplasmic binding protein-based nicotine biosensors for measurements in biofluids.
Haloi, Nandan; Huang, Shan; Nichols, Aaron L; Fine, Eve J; Friesenhahn, Nicholas J; Marotta, Christopher B; Dougherty, Dennis A; Lindahl, Erik; Howard, Rebecca J; Mayo, Stephen L; Lester, Henry A.
Afiliação
  • Haloi N; Department of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.
  • Huang S; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena CA 91125 USA.
  • Nichols AL; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena CA 91125 USA.
  • Fine EJ; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena CA 91125 USA.
  • Friesenhahn NJ; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena CA 91125 USA.
  • Marotta CB; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena CA 91125 USA.
  • Dougherty DA; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena CA 91125 USA.
  • Lindahl E; Department of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.
  • Howard RJ; Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, 10691 Stockholm, Sweden.
  • Mayo SL; Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, 10691 Stockholm, Sweden.
  • Lester HA; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena CA 91125 USA.
bioRxiv ; 2024 Jan 18.
Article em En | MEDLINE | ID: mdl-36712031

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article