Influence of Protonation on Substrate and Inhibitor Interactions at the Active Site of Human Monoamine Oxidase-A

Exoproduction and characterization of a detergent-stable alkaline keratinase from Arthrobacter sp. KFS-1

Arthrobacter sp. KFS-1 previously isolated from a dump site was used to produce keratinase in basal medium. The physico-chemical conditions were optimized to enhance the keratinase production, and biochemical properties of the enzyme were also evaluated. Arthrobacter sp. KFS-1 optimally produced keratinase in a basal medium that contained 1.0 g/L xylose, 2.5-5.0 g/L chicken feather; with initial pH, incubation temperature and agitation speed of 6.0, 30 °C and 200 rpm, respectively. Maximum keratinase activity of 1559.09 ± 29.57 U/mL was achieved at 96 h of fermentation; while optimal thiol concentration of 665.13 ± 38.73 μM was obtained at 144 h. Furthermore, the enzyme was optimally active at pH 8.0 and 60 °C. The enzyme activity was inhibited by ethylene diamine tetraacetic acid and 1,10-phenanthroline, but not affected by phenylmethylsulfonyl floride. In addition, the crude enzyme retained 55%, 63%, 80%, 81% and 90% of the original activity after respective pretreatment with some commercial detergents (Maq, Omo, Surf, Sunlight and Ariel). Moreso, the enzyme showed remarkable stability in the presence of reducing agents, surfactants, and organic solvents. Arthrobacter sp. KFS-1 significantly produced keratinase which exhibited excellent stability in presence of chemical agents and commercial laundry detergents; hence, suggesting its industrial application potentials especially in detergent formulation.

3D-PP: A Tool for Discovering Conserved Three-Dimensional Protein Patterns

Discovering conserved three-dimensional (3D) patterns among protein structures may provide valuable insights into protein classification, functional annotations or the rational design of multi-target drugs. Thus, several computational tools have been developed to discover and compare protein 3D-patterns. However, most of them only consider previously known 3D-patterns such as orthosteric binding sites or structural motifs. This fact makes necessary the development of new methods for the identification of all possible 3D-patterns that exist in protein structures (allosteric sites, enzyme-cofactor interaction motifs, among others). In this work, we present 3D-PP, a new free access web server for the discovery and recognition all similar 3D amino acid patterns among a set of proteins structures (independent of their sequence similarity). This new tool does not require any previous structural knowledge about ligands, and all data are organized in a high-performance graph database. The input can be a text file with the PDB access codes or a zip file of PDB coordinates regardless of the origin of the structural data: X-ray crystallographic experiments or in silico homology modeling. The results are presented as lists of sequence patterns that can be further analyzed within the web page. We tested the accuracy and suitability of 3D-PP using two sets of proteins coming from the Protein Data Bank: (a) Zinc finger containing and (b) Serotonin target proteins. We also evaluated its usefulness for the discovering of new 3D-patterns, using a set of protein structures coming from in silico homology modeling methodologies, all of which are overexpressed in different types of cancer. Results indicate that 3D-PP is a reliable, flexible and friendly-user tool to identify conserved structural motifs, which could be relevant to improve the knowledge about protein function or classification. The web server can be freely utilized at https://appsbio.utalca.cl/3d-pp/.

Exposing the Interplay Between Enzyme Turnover, Protein Dynamics, and the Membrane Environment in Monoamine Oxidase B

There is an increasing realization that structure-based drug design may show improved success by understanding the ensemble of conformations accessible to an enzyme and how the environment affects this ensemble. Human monoamine oxidase B (MAO-B) catalyzes the oxidation of amines and is inhibited for the treatment of both Parkinson's disease and depression. Despite its clinical importance, its catalytic mechanism remains unclear, and routes to drugging this target would be valuable. Evidence of a radical in either the transition state or the resting state of MAO-B is present throughout the literature and is suggested to be a flavin semiquinone, a tyrosyl radical, or both. Here we see evidence of a resting-state flavin semiquinone, via absorption redox studies and electron paramagnetic resonance, suggesting that the anionic semiquinone is biologically relevant. On the basis of enzyme kinetic studies, enzyme variants, and molecular dynamics simulations, we find evidence for the importance of the membrane environment in mediating the activity of MAO-B and that this mediation is related to the protein dynamics of MAO-B. Further, our MD simulations identify a hitherto undescribed entrance for substrate binding, membrane modulated substrate access, and indications for half-site reactivity: only one active site is accessible to binding at a time. Our study combines both experimental and computational evidence to illustrate the subtle interplay between enzyme activity and protein dynamics and the immediate membrane environment. Understanding key biomedical enzymes to this level of detail will be crucial to inform strategies (and binding sites) for rational drug design for these targets.

Revealing Monoamine Oxidase B Catalytic Mechanisms by Means of the Quantum Chemical Cluster Approach

Two of the possible catalytic mechanisms for neurotransmitter oxidative deamination by monoamine oxidase B (MAO B), namely, polar nucleophilic and hydride transfer, were addressed in order to comprehend the nature of their rate-determining step. The Quantum Chemical Cluster Approach was used to obtain transition states of MAO B complexed with phenylethylamine (PEA), benzylamine (BA), and p-nitrobenzylamine (NBA). The choice of these amines relies on their importance to address MAO B catalytic mechanisms so as to help us to answer questions such as why BA is a better substrate than NBA or how para-substitution affects substrate's reactivity. Transition states were later validated by comparison with the experimental free energy barriers. From a theoretical point of view, and according to the our reported transition states, their calculated barriers and structural and orbital differences obtained by us among these compounds, we propose that good substrates such as BA and PEA might follow the hydride transfer pathway while poor substrates such as NBA prefer the polar nucleophilic mechanism, which might suggest that MAO B can act by both mechanisms. The low free energy barriers for BA and PEA reflect the preference that MAO B has for hydride transfer over the polar nucleophilic mechanism when catalyzing the oxidative deamination of neurotransmitters.

Protonation and pK changes in protein-ligand binding

Formation of protein-ligand complexes causes various changes in both the receptor and the ligand. This review focuses on changes in pK and protonation states of ionizable groups that accompany protein-ligand binding. Physical origins of these effects are outlined, followed by a brief overview of the computational methods to predict them and the associated corrections to receptor-ligand binding affinities. Statistical prevalence, magnitude and spatial distribution of the pK and protonation state changes in protein-ligand binding are discussed in detail, based on both experimental and theoretical studies. While there is no doubt that these changes occur, they do not occur all the time; the estimated prevalence varies, both between individual complexes and by method. The changes occur not only in the immediate vicinity of the interface but also sometimes far away. When receptor-ligand binding is associated with protonation state change at particular pH, the binding becomes pH dependent: we review the interplay between sub-cellular characteristic pH and optimum pH of receptor-ligand binding. It is pointed out that there is a tendency for protonation state changes upon binding to be minimal at physiologically relevant pH for each complex (no net proton uptake/release), suggesting that native receptor-ligand interactions have evolved to reduce the energy cost associated with ionization changes. As a result, previously reported statistical prevalence of these changes - typically computed at the same pH for all complexes - may be higher than what may be expected at optimum pH specific to each complex. We also discuss whether proper account of protonation state changes appears to improve practical docking and scoring outcomes relevant to structure-based drug design. An overview of some of the existing challenges in the field is provided in conclusion.

Strategies for the discovery and engineering of enzymes for biocatalysis

Protein engineering is the most important method to overcome the limitations of natural enzymes as biocatalysts. The past few years have seen a tremendous increase in novel concepts to facilitate the design of mutant libraries for focused directed evolution mostly guided by advanced bioinformatic tools. In addition, advanced high-throughput methods were developed using, for example, FACS analysis or microfluidic systems. These achievements significantly facilitate the tailor-made design of enzymes to make them suitable for industrial applications.