phosaa14SB and phosaa19SB: Updated Amber Force Field Parameters for Phosphorylated Amino Acids.


Journal

Journal of chemical theory and computation
ISSN: 1549-9626
Titre abrégé: J Chem Theory Comput
Pays: United States
ID NLM: 101232704

Informations de publication

Date de publication:
16 Aug 2024
Historique:
medline: 16 8 2024
pubmed: 16 8 2024
entrez: 16 8 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 39151116
doi: 10.1021/acs.jctc.4c00732
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Lauren E Raguette (LE)

Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, United States.

Abbigayle E Cuomo (AE)

Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.

Kellon A A Belfon (KAA)

Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, United States.

Chuan Tian (C)

Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, United States.

Victoria Hazoglou (V)

Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.

Gabriela Witek (G)

Department of Pharmacological Sciences, Stony Brook University, Stony Brook, New York 11794, United States.

Stephen M Telehany (SM)

Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.

Qin Wu (Q)

Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York 11973, United States.

Carlos Simmerling (C)

Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States.
Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, United States.

Classifications MeSH