Evaluation and binding-mode prediction of thiopyrone-based inhibitors of anthrax lethal factor.
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Anti-Bacterial Agents↗
Biomedical subjects
John Mongan
Publications and source records attributed to John Mongan.
Potent, selective pyrone-based inhibitors of stromelysin-1.
In an effort to develop alternatives to hydroxamate-based matrix metalloproteinase inhibitors (MPIs), we have utilized the drug discovery program LUDI enhanced with the structural coordinates of a bioinorganic model complex. This method has yielded the first pyrone-based MPIs. The inhibitors demonstrate nanomolar potency against MMP-3 and are selective for MMP-3 over MMP-2 and MMP-1. We postulate that the potency and unusual selectivity profile of these MPI is attributable to the pyrone chelating group.
Matrix Metalloproteinase 3↗
Limitations of atom-centered dielectric functions in implicit solvent models.
Many recent advances in Poisson-Boltzmann and generalized Born implicit solvent models have used atom-centered polynomial or Gaussian functions to define the boundary separating low and high dielectric regions. In contrast to the Lee and Richards molecular surface, atom-centered surfaces result in interatomic crevices and buried pockets of high dielectric which are too small for a solvent molecule to occupy. We show that these interstitial high dielectric regions are of significant magnitude in globular proteins, that they artificially increase solvation energies, and that they distort the free energy surface of nonbonded interactions. These results suggest that implicit solvent dielectric functions must exclude interstitial high dielectric regions in order to yield physically meaningful results.
Electrons↗
Biomolecular simulations at constant pH.
Like temperature and pressure, the solution pH is an important thermodynamic variable that is commonly varied in experiments and is used by cells to influence biochemical function. It is now becoming feasible to carry out practical molecular dynamics simulations that mimic the thermodynamics of such experiments, by allowing proton transfer between the system of interest and a hypothetical bath of protons at a given pH. These are demanding calculations, because the energetics of charge changes upon protonation or deprotonation must be accurately modeled, and because such simulations must sample both molecular configurations and the large number of protonation states that are possible for a molecule with many titrating sites.
Algorithms↗
Accelerated molecular dynamics: a promising and efficient simulation method for biomolecules.
Many interesting dynamic properties of biological molecules cannot be simulated directly using molecular dynamics because of nanosecond time scale limitations. These systems are trapped in potential energy minima with high free energy barriers for large numbers of computational steps. The dynamic evolution of many molecular systems occurs through a series of rare events as the system moves from one potential energy basin to another. Therefore, we have proposed a robust bias potential function that can be used in an efficient accelerated molecular dynamics approach to simulate the transition of high energy barriers without any advance knowledge of the location of either the potential energy wells or saddle points. In this method, the potential energy landscape is altered by adding a bias potential to the true potential such that the escape rates from potential wells are enhanced, which accelerates and extends the time scale in molecular dynamics simulations. Our definition of the bias potential echoes the underlying shape of the potential energy landscape on the modified surface, thus allowing for the potential energy minima to be well defined, and hence properly sampled during the simulation. We have shown that our approach, which can be extended to biomolecules, samples the conformational space more efficiently than normal molecular dynamics simulations, and converges to the correct canonical distribution.
Binding Sites↗
Constant pH molecular dynamics in generalized Born implicit solvent.
A new method is proposed for constant pH molecular dynamics (MD), employing generalized Born (GB) electrostatics. Protonation states are modeled with different charge sets, and titrating residues sample a Boltzmann distribution of protonation states as the simulation progresses, using Monte Carlo sampling based on GB-derived energies. The method is applied to four different crystal structures of hen egg-white lysozyme (HEWL). pK(a) predictions derived from the simulations have root-mean-square (RMS) error of 0.82 relative to experimental values. Similarity of results between the four crystal structures shows the method to be independent of starting crystal structure; this is in contrast to most electrostatics-only models. A strong correlation between conformation and protonation state is noted and quantitatively analyzed, emphasizing the importance of sampling protonation states in conjunction with dynamics.
Algorithms↗
Interactive essential dynamics.
Essential dynamics (ED) is a useful method for analyzing trajectories generated by molecular dynamics (MD), but current tools are awkward to use, limiting the usefulness of the technique. This paper describes a new interactive graphical interface for visualization of ED results, including filtering a trajectory on an arbitrary set of eigenvectors and manipulation of a structure's projection along any eigenvector.
Computer Simulation↗