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Understanding and modelling the interactions of peptides with membranes: from partitioning to self-assembly.
Chen, Charles H; Melo, Marcelo Cr; Berglund, Nils; Khan, Ayesha; de la Fuente-Nunez, Cesar; Ulmschneider, Jakob P; Ulmschneider, Martin B.
Afiliação
  • Chen CH; Department of Chemistry, King's College London, London, UK.
  • Melo MC; Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, Penn Institute for Computational Science, and Department of Bioengineering, University of Pennsylvania, Philade
  • Berglund N; Department of Chemistry, Aarhus University, Aarhus, Denmark.
  • Khan A; College of Medicine and Health, University of Exeter, Exeter, UK.
  • de la Fuente-Nunez C; Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, Penn Institute for Computational Science, and Department of Bioengineering, University of Pennsylvania, Philade
  • Ulmschneider JP; Institute of Natural Sciences and School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China. Electronic address: jakob@sjtu.edu.cn.
  • Ulmschneider MB; Department of Chemistry, King's College London, London, UK. Electronic address: martin.ulmschneider@kcl.ac.uk.
Curr Opin Struct Biol ; 61: 160-166, 2020 04.
Article em En | MEDLINE | ID: mdl-32006812

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Conformação Proteica / Membrana Celular / Simulação de Dinâmica Molecular / Simulação de Acoplamento Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: Curr Opin Struct Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Conformação Proteica / Membrana Celular / Simulação de Dinâmica Molecular / Simulação de Acoplamento Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: Curr Opin Struct Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido