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phosaa14SB and phosaa19SB: Updated Amber Force Field Parameters for Phosphorylated Amino Acids.
Raguette, Lauren E; Cuomo, Abbigayle E; Belfon, Kellon A A; Tian, Chuan; Hazoglou, Victoria; Witek, Gabriela; Telehany, Stephen M; Wu, Qin; Simmerling, Carlos.
Afiliação
  • Raguette LE; Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
  • Cuomo AE; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, United States.
  • Belfon KAA; Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
  • Tian C; Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
  • Hazoglou V; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, United States.
  • Witek G; Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
  • Telehany SM; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, United States.
  • Wu Q; Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
  • Simmerling C; Department of Pharmacological Sciences, Stony Brook University, Stony Brook, New York 11794, United States.
J Chem Theory Comput ; 2024 Aug 16.
Article em En | MEDLINE | ID: mdl-39151116
ABSTRACT
Phosphorylated amino acids are involved in many cell regulatory networks; proteins containing these post-translational modifications are widely studied both experimentally and computationally. Simulations are used to investigate a wide range of structural and dynamic properties of biomolecules, such as ligand binding, enzyme-reaction mechanisms, and protein folding. However, the development of force field parameters for the simulation of proteins containing phosphorylated amino acids using the Amber program has not kept pace with the development of parameters for standard amino acids, and it is challenging to model these modified amino acids with accuracy comparable to proteins containing only standard amino acids. In particular, the popular ff14SB and ff19SB models do not contain parameters for phosphorylated amino acids. Here, the dihedral parameters for the side chains of the most common phosphorylated amino acids are trained against reference data from QM calculations adopting the ff14SB approach, followed by validation against experimental data. Library files and corresponding parameter files are provided, with versions that are compatible with both ff14SB and ff19SB.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Chem Theory Comput 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: J Chem Theory Comput Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos