» Articles » PMID: 34668708

Development and Validation of AMBER-FB15-Compatible Force Field Parameters for Phosphorylated Amino Acids

Overview
Journal J Phys Chem B
Specialty Chemistry
Date 2021 Oct 20
PMID 34668708
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Phosphorylation of select amino acid residues is one of the most common biological mechanisms for regulating protein structures and functions. While computational modeling can be used to explore the detailed structural changes associated with phosphorylation, most molecular mechanics force fields developed for the simulation of phosphoproteins have been noted to be inconsistent with experimental data. In this work, we parameterize force fields for the phosphorylated forms of the amino acids serine, threonine, and tyrosine using the ForceBalance software package with the goal of improving agreement with experiments for these residues. Our optimized force field, denoted as FB18, is parameterized using high-quality ab initio potential energy scans and is designed to be fully compatible with the AMBER-FB15 protein force field. When utilized in MD simulations together with the TIP3P-FB water model, we find that FB18 consistently enhances the prediction of experimental quantities such as NMR couplings and intramolecular hydrogen-bonding propensities in comparison to previously published models. As was reported with AMBER-FB15, we also see improved agreement with the reference QM calculations in regions at and away from local minima. We thus believe that the FB18 parameter set provides a promising route for the further investigation of the varied effects of protein phosphorylation.

Citing Articles

Clustering of RNA Polymerase II C-Terminal Domain Models upon Phosphorylation.

Amith W, Chen V, Dutagaci B J Phys Chem B. 2024; 128(42):10385-10396.

PMID: 39395159 PMC: 11514005. DOI: 10.1021/acs.jpcb.4c04457.


Thirty years of molecular dynamics simulations on posttranslational modifications of proteins.

Weigle A, Feng J, Shukla D Phys Chem Chem Phys. 2022; 24(43):26371-26397.

PMID: 36285789 PMC: 9704509. DOI: 10.1039/d2cp02883b.


Balanced Force Field ff03CMAP Improving the Dynamics Conformation Sampling of Phosphorylation Site.

Zhong B, Song G, Chen H Int J Mol Sci. 2022; 23(19).

PMID: 36232586 PMC: 9569523. DOI: 10.3390/ijms231911285.


Development and Validation of Fluorinated, Aromatic Amino Acid Parameters for Use with the AMBER ff15ipq Protein Force Field.

Yang D, Gronenborn A, Chong L J Phys Chem A. 2022; 126(14):2286-2297.

PMID: 35352936 PMC: 9014858. DOI: 10.1021/acs.jpca.2c00255.


Phosphoserine inhibits neighboring arginine methylation in the RKS motif of histone H3.

Leal J, Estrada-Tobar Z, Wade F, Mendiola A, Meza A, Mendoza M Arch Biochem Biophys. 2020; 698:108716.

PMID: 33309545 PMC: 11028399. DOI: 10.1016/j.abb.2020.108716.

References
1.
Ferguson F, Gray N . Kinase inhibitors: the road ahead. Nat Rev Drug Discov. 2018; 17(5):353-377. DOI: 10.1038/nrd.2018.21. View

2.
MacKerell Jr A, Feig M, Brooks 3rd C . Extending the treatment of backbone energetics in protein force fields: limitations of gas-phase quantum mechanics in reproducing protein conformational distributions in molecular dynamics simulations. J Comput Chem. 2004; 25(11):1400-15. DOI: 10.1002/jcc.20065. View

3.
Grimme S . Semiempirical GGA-type density functional constructed with a long-range dispersion correction. J Comput Chem. 2006; 27(15):1787-99. DOI: 10.1002/jcc.20495. View

4.
Masterson L, Cembran A, Shi L, Veglia G . Allostery and binding cooperativity of the catalytic subunit of protein kinase A by NMR spectroscopy and molecular dynamics simulations. Adv Protein Chem Struct Biol. 2012; 87:363-89. PMC: 3546502. DOI: 10.1016/B978-0-12-398312-1.00012-3. View

5.
Nerenberg P, Head-Gordon T . New developments in force fields for biomolecular simulations. Curr Opin Struct Biol. 2018; 49:129-138. DOI: 10.1016/j.sbi.2018.02.002. View