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Free Energy Calculations of Microcin J25 Variants Binding to the FhuA Receptor.

ABSTRACT: Computer simulations were performed to study the antimicrobial peptide microcin J25 (MJ25), a 21-mer peptide with an unusual lasso structure and high activity against Gram-negative bacteria. MJ25 has intracellular targets. The initial step of MJ25 acquisition in bacterial cells is binding to the outer-membrane receptor FhuA. Molecular dynamics simulations were implemented to study the binding mechanism of MJ25 to FhuA and to search for important binding residues. The absolute binding free energy calculated from combined free energy perturbation and thermodynamic integration methods agrees well with experimental data. In addition, computational mutation analysis revealed that His5 is the key residue responsible for MJ25 and FhuA association. We found that the number of hydrogen bonds is essential for binding of MJ25 to FhuA. This atomistic, quantitative insight sheds light on the mechanism of action of MJ25 and may pave a path for designing active MJ25 analogues.

SUBMITTER: Lai PK

PROVIDER: S-EPMC9481273 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Free Energy Calculations of Microcin J25 Variants Binding to the FhuA Receptor.

Lai Pin-Kuang PK Kaznessis Yiannis N YN

Journal of chemical theory and computation 20170628 7

Computer simulations were performed to study the antimicrobial peptide microcin J25 (MJ25), a 21-mer peptide with an unusual lasso structure and high activity against Gram-negative bacteria. MJ25 has intracellular targets. The initial step of MJ25 acquisition in bacterial cells is binding to the outer-membrane receptor FhuA. Molecular dynamics simulations were implemented to study the binding mechanism of MJ25 to FhuA and to search for important binding residues. The absolute binding free energy ...[more]

PMID: 28622469

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Project description:A significant challenge and potential high-value application of computer-aided drug design is the accurate prediction of protein-ligand binding affinities. Free energy perturbation (FEP) using molecular dynamics (MD) sampling is among the most suitable approaches to achieve accurate binding free energy predictions, due to the rigorous statistical framework of the methodology, correct representation of the energetics, and thorough treatment of the important degrees of freedom in the system (including explicit waters). Recent advances in sampling methods and force fields coupled with vast increases in computational resources have made FEP a viable technology to drive hit-to-lead and lead optimization, allowing for more efficient cycles of medicinal chemistry and the possibility to explore much larger chemical spaces. However, previous FEP applications have focused on systems with high-resolution crystal structures of the target as starting points-something that is not always available in drug discovery projects. As such, the ability to apply FEP on homology models would greatly expand the domain of applicability of FEP in drug discovery. In this work we apply a particular implementation of FEP, called FEP+, on congeneric ligand series binding to four diverse targets: a kinase (Tyk2), an epigenetic bromodomain (BRD4), a transmembrane GPCR (A2A), and a protein-protein interaction interface (BCL-2 family protein MCL-1). We apply FEP+ using both crystal structures and homology models as starting points and find that the performance using homology models is generally on a par with the results when using crystal structures. The robustness of the calculations to structural variations in the input models can likely be attributed to the conformational sampling in the molecular dynamics simulations, which allows the modeled receptor to adapt to the "real" conformation for each ligand in the series. This work exemplifies the advantages of using all-atom simulation methods with full system flexibility and offers promise for the general application of FEP to homology models, although additional validation studies should be performed to further understand the limitations of the method and the scenarios where FEP will work best.

Dataset Information

Free Energy Calculations of Microcin J25 Variants Binding to the FhuA Receptor.

Publications

Free Energy Calculations of Microcin J25 Variants Binding to the FhuA Receptor.

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