Construction of a highly selective and sensitive carbohydrate-detecting biosensor utilizing Computational Identification of Non-disruptive Conjugation sites (CINC) for flexible and streamlined biosensor design.

Smith, Dustin D; Girodat, Dylan; Abbott, D Wade; Wieden, Hans-Joachim

Smith, Dustin D; Girodat, Dylan; Abbott, D Wade; Wieden, Hans-Joachim.

Afiliação

Smith DD; Alberta RNA Research and Training Institute (ARRTI), University of Lethbridge, Lethbridge, AB, Canada; Department of Chemistry and Biochemistry, University of Lethbridge, Lethbridge, AB, Canada.
Girodat D; Alberta RNA Research and Training Institute (ARRTI), University of Lethbridge, Lethbridge, AB, Canada; Department of Chemistry and Biochemistry, University of Lethbridge, Lethbridge, AB, Canada.
Abbott DW; Department of Chemistry and Biochemistry, University of Lethbridge, Lethbridge, AB, Canada; Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada.
Wieden HJ; Alberta RNA Research and Training Institute (ARRTI), University of Lethbridge, Lethbridge, AB, Canada; Department of Chemistry and Biochemistry, University of Lethbridge, Lethbridge, AB, Canada; Department of Microbiology, University of Manitoba, Winnipeg, MB, Canada. Electronic address: hans-joachi

Biosens Bioelectron ; 200: 113899, 2022 Mar 15.

Article em En | MEDLINE | ID: mdl-34974264

Assuntos

Técnicas Biossensoriais; Carboidratos; Corantes Fluorescentes; Ligantes; Espectrometria de Fluorescência

Palavras-chave

Carbohydrate detection; Computational biosensor design; Fluorescence; MalX; Molecular dynamics; Rapid kinetics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais Tipo de estudo: Diagnostic_studies Idioma: En Revista: Biosens Bioelectron Ano de publicação: 2022 Tipo de documento: Article

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