Molecular dynamics studies on the mutational structures of a nylon-6 byproduct-degrading enzyme

Structural and functional characterization of nylon hydrolases

Biodegradation of synthetic polymers is recognized as a useful way to reduce their environmental load and pollution, loss of natural resources, extensive energy consumption, and generation of greenhouse gases. The potential use of enzymes responsible for the degradation of the targeted polymers is an effective approach which enables the conversion of the used polymers to original monomers and/or other useful compounds. In addition, the enzymes are expected to be applicable in industrial processes such as improving the surface structures of the polymers. Especially, conversion of the solid polymers to soluble oligomers/monomers is a key step for the biodegradation of the polymers. Regarding the hydrolysis of polyamides, three enzymes, 6-aminohexanoate-cyclic-dimer hydrolase (NylA), 6-aminohexanoate-dimer hydrolase (NylB), and 6-aminohexanoate-oligomer endo-hydrolase (nylon hydrolase, NylC), are found in several bacterial strains. In this chapter, we describe our approach for the screening of microorganisms which degrade nylons and related compounds; preparation of substrates; assay of hydrolytic activity for soluble and insoluble substrates; and X-ray crystallographic and computational approaches for analysis of structure and catalytic mechanisms of the nylon-degrading enzymes.

Simple, yet powerful methodologies for conformational sampling of proteins

Several biological functions, such as molecular recognition, enzyme catalysis, signal transduction, allosteric regulation, and protein folding, are strongly related to conformational transitions of proteins. These conformational transitions are generally induced as slow dynamics upon collective motions, including biologically relevant large-amplitude fluctuations of proteins. Although molecular dynamics (MD) simulation has become a powerful tool for extracting conformational transitions of proteins, it might still be difficult to reach time scales of the biological functions because the accessible time scales of MD simulations are far from biological time scales, even if straightforward conventional MD (CMD) simulations using massively parallel computers are employed. Thus, it is desirable to develop efficient methods to achieve canonical ensembles with low computational costs. From this perspective, we review several enhanced conformational sampling techniques of biomolecules developed by us. In our methods, multiple independent short-time MD simulations are employed instead of single straightforward long-time CMD simulations. Our basic strategy is as follows: (i) selection of initial seeds (initial structures) for the conformational sampling in restarting MD simulations. Here, the seeds should be selected as candidates with high potential to transit. (ii) Resampling from the selected seeds by initializing velocities in restarting short-time MD simulations. A cycle of these simple protocols might drastically promote the conformational transitions of biomolecules. (iii) Once reactive trajectories extracted from the cycles of short-time MD simulations are obtained, a free energy profile is evaluated by means of umbrella sampling (US) techniques with the weighted histogram analysis method (WHAM) as a post-processing technique. For the selection of the initial seeds, we proposed four different choices: (1) Parallel CaScade molecular dynamics (PaCS-MD), (2) Fluctuation Flooding Method (FFM), (3) Outlier FLOODing (OFLOOD) method, and (4) TaBoo SeArch (TBSA) method. We demonstrate applications of our methods to several biological systems, such as domain motions of proteins with large-amplitude fluctuations, conformational transitions upon ligand binding, and protein folding/refolding to native structures of proteins. Finally, we show the conformational sampling efficiencies of our methods compared with those by CMD simulations and other previously developed enhanced conformational sampling methods.

Unraveling the degradation of artificial amide bonds in nylon oligomer hydrolase: from induced-fit to acylation processes

To unravel the factor that provides the ability to degrade non-biological amide bond with nylon oligomer hydrolase, we investigated the process from induced-fit to acylation by a combination of different theoretical methods.

Nylon-Oligomer Hydrolase Promoting Cleavage Reactions in Unnatural Amide Compounds

The active site of 6-aminohexanoate-dimer hydrolase, a nylon-6 byproduct-degrading enzyme with a β-lactamase fold, possesses a Ser112/Lys115/Tyr215 catalytic triad similar to the one of penicillin-recognizing family of serine-reactive hydrolases but includes a unique Tyr170 residue. By using a reactive quantum mechanics/molecular mechanics (QM/MM) approach, we work out its catalytic mechanism and related functional/structural specificities. At variance with other peptidases, we show that the involvement of Tyr170 in the enzyme-substrate interactions is responsible for a structural variation in the substrate-binding state. The acylation via a tetrahedral intermediate is the rate-limiting step, with a free-energy barrier of ∼21 kcal/mol, driven by the catalytic triad Ser112, Lys115, and Tyr215, acting as a nucleophile, general base, and general acid, respectively. The functional interaction of Tyr170 with this triad leads to an efficient disruption of the tetrahedral intermediate, promoting a conformational change of the substrate favorable for proton donation from the general acid.