Molecular Interaction Mechanism of a 14-3-3 Protein with a Phosphorylated Peptide Elucidated by Enhanced Conformational Sampling.
Junichi HigoTakeshi KawabataAyumi KusakaKota KasaharaNarutoshi KamiyaIkuo FukudaKentaro MoriYutaka HataYoshifumi FukunishiHaruki NakamuraPublished in: Journal of chemical information and modeling (2020)
Enhanced conformational sampling, a genetic-algorithm-guided multidimensional virtual-system coupled molecular dynamics, can provide equilibrated conformational distributions of a receptor protein and a flexible ligand at room temperature. The distributions provide not only the most stable but also semistable complex structures and propose a ligand-receptor binding process. This method was applied to a system consisting of a receptor protein, 14-3-3ε, and a flexible peptide, phosphorylated myeloid leukemia factor 1 (pMLF1). The results present comprehensive binding pathways of pMLF1 to 14-3-3ε. We identified four thermodynamically stable clusters of MLF1 on the 14-3-3ε surface and free-energy barriers among some clusters. The most stable cluster includes two high-density spots connected by a narrow corridor. When pMLF1 passes the corridor, a salt-bridge relay (switching) related to the phosphorylated residue of pMLF1 occurs. Conformations in one high-density spot are similar to the experimentally determined complex structure. Three-dimensional distributions of residues in the intermolecular interface rationally explain the binding constant changes resulting from the alanine mutation experiment for the residues. We also performed a simulation of nonphosphorylated peptide and 14-3-3ε, which demonstrated that the complex structure was unstable, suggesting that phosphorylation of the peptide is crucially important for binding to 14-3-3ε.
Keyphrases
- molecular dynamics
- high density
- binding protein
- room temperature
- density functional theory
- single molecule
- acute myeloid leukemia
- molecular dynamics simulations
- protein protein
- amino acid
- bone marrow
- dna binding
- machine learning
- ionic liquid
- dendritic cells
- genome wide
- immune response
- mass spectrometry
- monte carlo
- high resolution
- neural network
- dna methylation
- solid state