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Exploring Free Energies of Specific Protein Conformations Using the Martini Force Field.
Plazinski, Wojciech; Lutsyk, Valery; Plazinska, Anita.
Afiliação
  • Plazinski W; Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences, Niezapominajek 8, Krakow 30-239, Poland.
  • Lutsyk V; Department of Biopharmacy, Medical University of Lublin, Chodzki 4a, Lublin 20-093, Poland.
  • Plazinska A; Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences, Niezapominajek 8, Krakow 30-239, Poland.
J Chem Theory Comput ; 20(5): 2273-2283, 2024 Mar 12.
Article em En | MEDLINE | ID: mdl-38427574
ABSTRACT
Coarse-grained (CG) level molecular dynamics simulations are routinely used to study various biomolecular processes. The Martini force field is currently the most widely adopted parameter set for such simulations. The functional form of this and several other CG force fields enforces secondary protein structure support by employing a variety of harmonic potentials or restraints that favor the protein's native conformation. We propose a straightforward method to calculate the energetic consequences of transitions between predefined conformational states in systems in which multiple factors can affect protein conformational equilibria. This method is designed for use within the Martini force field and involves imposing conformational transitions by linking a Martini-inherent elastic network to the coupling parameter λ. We demonstrate the applicability of our method using the example of five biomolecular systems that undergo experimentally characterized conformational transitions between well-defined structures (Staphylococcal nuclease, C-terminal segment of surfactant protein B, LAH4 peptide, and ß2-adrenergic receptor) as well as between folded and unfolded states (GCN4 leucine zipper protein). The results show that the relative free energy changes associated with protein conformational transitions, which are affected by various factors, such as pH, mutations, solvent, and lipid membrane composition, are correctly reproduced. The proposed method may be a valuable tool for understanding how different conditions and modifications affect conformational equilibria in proteins.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Simulação de Dinâmica Molecular Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Simulação de Dinâmica Molecular Idioma: En Ano de publicação: 2024 Tipo de documento: Article