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ezAlign: A Tool for Converting Coarse-Grained Molecular Dynamics Structures to Atomistic Resolution for Multiscale Modeling.
Bennett, W F Drew; Bernardi, Austen; Ozturk, Tugba Nur; Ingólfsson, Helgi I; Fox, Stephen J; Sun, Delin; Maupin, C Mark.
Afiliação
  • Bennett WFD; Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Bernardi A; Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Ozturk TN; Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Ingólfsson HI; Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Fox SJ; Procter and Gamble, Reading RG2 0RX, UK.
  • Sun D; Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Maupin CM; Procter and Gamble, Mason, OH 45040, USA.
Molecules ; 29(15)2024 Jul 28.
Article em En | MEDLINE | ID: mdl-39124960
ABSTRACT
Soft condensed matter is challenging to study due to the vast time and length scales that are necessary to accurately represent complex systems and capture their underlying physics. Multiscale simulations are necessary to study processes that have disparate time and/or length scales, which abound throughout biology and other complex systems. Herein we present ezAlign, an open-source software for converting coarse-grained molecular dynamics structures to atomistic representation, allowing multiscale modeling of biomolecular systems. The ezAlign v1.1 software package is publicly available for download at github.com/LLNL/ezAlign. Its underlying methodology is based on a simple alignment of an atomistic template molecule, followed by position-restraint energy minimization, which forces the atomistic molecule to adopt a conformation consistent with the coarse-grained molecule. The molecules are then combined, solvated, minimized, and equilibrated with position restraints. Validation of the process was conducted on a pure POPC membrane and compared with other popular methods to construct atomistic membranes. Additional examples, including surfactant self-assembly, membrane proteins, and more complex bacterial and human plasma membrane models, are also presented. By providing these examples, parameter files, code, and an easy-to-follow recipe to add new molecules, this work will aid future multiscale modeling efforts.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos