AI Article Synopsis

  • Phosphorylated amino acids play a critical role in cell regulation and are extensively studied through various simulations to understand biomolecular behaviors like binding and folding.
  • The Amber program's ability to accurately model proteins with phosphorylated amino acids has lagged behind that of standard amino acids, particularly in popular models like ff14SB and ff19SB, which lack these specific parameters.
  • This study develops and validates dihedral parameters for common phosphorylated amino acids using quantum mechanics calculations, and provides compatible libraries and parameter files for both ff14SB and ff19SB models.

Article 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.

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http://dx.doi.org/10.1021/acs.jctc.4c00732DOI Listing

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