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A multiscale approach to predict the binding mode of metallo beta-lactamase inhibitors.
Gervasoni, Silvia; Spencer, James; Hinchliffe, Philip; Pedretti, Alessandro; Vairoletti, Franco; Mahler, Graciela; Mulholland, Adrian J.
Affiliation
  • Gervasoni S; Department of Pharmaceutical Sciences, University of Milan, Milan, Italy.
  • Spencer J; School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK.
  • Hinchliffe P; School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK.
  • Pedretti A; Department of Pharmaceutical Sciences, University of Milan, Milan, Italy.
  • Vairoletti F; Facultad de Química, Departamento de Química Orgánica, Laboratorio de Química Farmacéutica, Universidad de la República (UdelaR), Montevideo, Uruguay.
  • Mahler G; Facultad de Química, Departamento de Química Orgánica, Laboratorio de Química Farmacéutica, Universidad de la República (UdelaR), Montevideo, Uruguay.
  • Mulholland AJ; School of Chemistry, University of Bristol, Bristol, UK.
Proteins ; 90(2): 372-384, 2022 02.
Article in En | MEDLINE | ID: mdl-34455628
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Full text: 1 Database: MEDLINE Main subject: Beta-Lactamases / Beta-Lactams / Beta-Lactamase Inhibitors / Anti-Bacterial Agents Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Proteins Journal subject: BIOQUIMICA Year: 2022 Type: Article Affiliation country: Italy
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Beta-Lactamases / Beta-Lactams / Beta-Lactamase Inhibitors / Anti-Bacterial Agents Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Proteins Journal subject: BIOQUIMICA Year: 2022 Type: Article Affiliation country: Italy