Your browser doesn't support javascript.
loading
Global multi-method analysis of interaction parameters for reversibly self-associating macromolecules at high concentrations.
Parupudi, Arun; Chaturvedi, Sumit K; Adão, Regina; Harkness, Robert W; Dragulin-Otto, Sonia; Kay, Lewis E; Esfandiary, Reza; Zhao, Huaying; Schuck, Peter.
Afiliação
  • Parupudi A; Department of Dosage Form Design and Development, Biopharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, 20878, USA.
  • Chaturvedi SK; Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, 20817, USA.
  • Adão R; Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, 20817, USA.
  • Harkness RW; Departments of Molecular Genetics, Biochemistry, and Chemistry, University of Toronto, Toronto, ON, M5S 1A8, Canada.
  • Dragulin-Otto S; Department of Dosage Form Design and Development, Biopharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, 20878, USA.
  • Kay LE; Departments of Molecular Genetics, Biochemistry, and Chemistry, University of Toronto, Toronto, ON, M5S 1A8, Canada.
  • Esfandiary R; The Hospital for Sick Children Research Institute, Program in Molecular Medicine, Toronto, ON, M5G 0A4, Canada.
  • Zhao H; Department of Dosage Form Design and Development, Biopharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, 20878, USA.
  • Schuck P; Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, 20817, USA.
Sci Rep ; 11(1): 5741, 2021 03 11.
Article em En | MEDLINE | ID: mdl-33707571
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article