Journal of Chemical Theory and Computation · 2024 · 18 citations · 32 references
Life SciencesBiochemistryBiophysicsBiomolecular ModelingProtein FoldingStructural BiologyProtein ChemistryProtein DynamicsProtein PhosphorylationProtein StructureProtein Structure ModelingStructural RefinementAmino AcidsComputational Prediction Of Amino Acid ConformationDihedral AngleMolecular Modeling Of Amino Acid ConformationsProtein Force FieldsProtein Side-chain ModelingReference Data ValidationSide-chain Modeling
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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VMD: Visual molecular dynamics
William Humphrey, Andrew Dalke, Klaus Schulten · Journal of Molecular Graphics · 1996 · 66.6K citations
Development and testing of a general amber force field
Junmei Wang, Romain M. Wolf, James W. Caldwell et al. · Journal of Computational Chemistry · 2004 · 19.6K citations
Frank Neese · Wiley Interdisciplinary Reviews Computational Molecular Science · 2011 · 13.1K citations
Natural Sciences, Chemistry, Physics +17