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Predicting the Shapes of Protein Complexes through Collision Cross Section Measurements and Database Searches.
Landreh, Michael; Sahin, Cagla; Gault, Joseph; Sadeghi, Samira; Drum, Chester L; Uzdavinys, Povilas; Drew, David; Allison, Timothy M; Degiacomi, Matteo T; Marklund, Erik G.
Afiliação
  • Landreh M; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solnavägen 9, 171 65, Stockholm, Sweden.
  • Sahin C; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solnavägen 9, 171 65, Stockholm, Sweden.
  • Gault J; Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark.
  • Sadeghi S; Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, United Kingdom.
  • Drum CL; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore 119228, Singapore.
  • Uzdavinys P; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore 119228, Singapore.
  • Drew D; Department of Biochemistry and Biophysics, Stockholm University, Stockholm 114 19, Sweden.
  • Allison TM; Department of Biochemistry and Biophysics, Stockholm University, Stockholm 114 19, Sweden.
  • Degiacomi MT; Biomolecular Interaction Centre and School of Physical and Chemical Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand.
  • Marklund EG; Department of Physics, Durham University, South Road, Durham DH1 3LE, United Kingdom.
Anal Chem ; 92(18): 12297-12303, 2020 09 15.
Article em En | MEDLINE | ID: mdl-32660238
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados de Proteínas / Ferritinas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Anal Chem Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suécia
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados de Proteínas / Ferritinas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Anal Chem Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suécia