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Understanding Virus Structure and Dynamics through Molecular Simulations.
Lynch, Diane L; Pavlova, Anna; Fan, Zixing; Gumbart, James C.
Afiliação
  • Lynch DL; School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Pavlova A; School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Fan Z; Interdisciplinary Bioengineering Graduate Program, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Gumbart JC; School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
J Chem Theory Comput ; 19(11): 3025-3036, 2023 Jun 13.
Article em En | MEDLINE | ID: mdl-37192279
Viral outbreaks remain a serious threat to human and animal populations and motivate the continued development of antiviral drugs and vaccines, which in turn benefits from a detailed understanding of both viral structure and dynamics. While great strides have been made in characterizing these systems experimentally, molecular simulations have proven to be an essential, complementary approach. In this work, we review the contributions of molecular simulations to the understanding of viral structure, functional dynamics, and processes related to the viral life cycle. Approaches ranging from coarse-grained to all-atom representations are discussed, including current efforts at modeling complete viral systems. Overall, this review demonstrates that computational virology plays an essential role in understanding these systems.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estruturas Virais / Simulação de Dinâmica Molecular Limite: Animals / Humans Idioma: En Revista: J Chem Theory Comput Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estruturas Virais / Simulação de Dinâmica Molecular Limite: Animals / Humans Idioma: En Revista: J Chem Theory Comput Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos