Quantitative Thermodynamic Analyses of Spectroscopic Titration Curves

Lignin self-assembly phenomena and valorization strategies for pulping, biorefining, and materials development: Part 2. Factors affecting the specificity of lignin self-assembly for industrial applications

This review considers a profoundly underutilized resource, technical lignin, and its potential for large scale upgrading for higher-valued industrial usage by means of self-assembly processes. Molecular interactions that can be used to guide lignin self-assembly are systematically explored, categorizing them into physicochemical interaction-driven assembly and external stimuli or template-driven assembly. Published findings are examined to reveal molecular mechanisms governing lignin aggregation into lignin nanoparticles (LNPs), films, and interfacial behavior in Pickering emulsions that have potential to be used industrially. Recent advancements in experimental techniques are explored to provide deeper insights into lignin's self-assembly processes. Hydrophobic effects, π-π stacking, hydrogen bonding, electrostatic layering, polyelectrolyte complex formation, chain entanglement, and covalent cross-linking are critically assessed as potential means to control the self-assembly of lignin and systems involving lignin. Additionally, external factors, such as chemical dehydration, solvent-mediated interactions, and external fields are examined related to their role in templating lignin assembly. Based on a comprehensive review of the literature, hydrophobic interactions are predominant in lignin aggregation, with hydrophobicity degrees varying significantly across lignin samples. Interfacial rheology studies demonstrate that lignosulfonate exhibits maximum storage moduli at oil-water interfaces, significantly enhancing emulsion stability. Additionally, modified lignins via esterification contribute larger lifetimes of water-in-oil emulsions stability under varying salinity and oil types. The integration of molecular modeling with experimental characterization techniques can further optimize lignin-based materials for multiple applications, such as drug delivery, catalysis, advanced pesticide delivery systems, bioplastics, 3D printing, and emulsification, among many others. Although there are existing technical and economic assessments (TEA) and life cycle assessments (LCA) involving lignin self-assembly that point to promising prospects, there is a need for more comprehensive TEA and LCA work to clear the way for the needed industrial innovations in this field.

Probing and Manipulating Noncovalent Interactions in Functional Polymeric Systems

Noncovalent interactions, which usually feature tunable strength, reversibility, and environmental adaptability, have been recognized as driving forces in a variety of biological and chemical processes, contributing to the recognition between molecules, the formation of molecule clusters, and the establishment of complex structures of macromolecules. The marriage of noncovalent interactions and conventional covalent polymers offers the systems novel mechanical, physicochemical, and biological properties, which are highly dependent on the binding mechanisms of the noncovalent interactions that can be illuminated via quantification. This review systematically discusses the nanomechanical characterization of typical noncovalent interactions in polymeric systems, mainly through direct force measurements at microscopic, nanoscopic, and molecular levels, which provide quantitative information (e.g., ranges, strengths, and dynamics) on the binding behaviors. The fundamental understandings of intermolecular and interfacial interactions are then correlated to the macroscopic performances of a series of noncovalently bonded polymers, whose functions (e.g., stimuli-responsiveness, self-healing capacity, universal adhesiveness) can be customized through the manipulation of the noncovalent interactions, providing insights into the rational design of advanced materials with applications in biomedical, energy, environmental, and other engineering fields.

Biomolecular interactions of ultrasmall metallic nanoparticles and nanoclusters

The use of nanoparticles (NPs) in biomedicine has made a gradual transition from proof-of-concept to clinical applications, with several NP types meeting regulatory approval or undergoing clinical trials. A new type of metallic nanostructures called ultrasmall nanoparticles (usNPs) and nanoclusters (NCs), while retaining essential properties of the larger (classical) NPs, have features common to bioactive proteins. This combination expands the potential use of usNPs and NCs to areas of diagnosis and therapy traditionally reserved for small-molecule medicine. Their distinctive physicochemical properties can lead to unique in vivo behaviors, including improved renal clearance and tumor distribution. Both the beneficial and potentially deleterious outcomes (cytotoxicity, inflammation) can, in principle, be controlled through a judicious choice of the nanocore shape and size, as well as the chemical ligands attached to the surface. At present, the ability to control the behavior of usNPs is limited, partly because advances are still needed in nanoengineering and chemical synthesis to manufacture and characterize ultrasmall nanostructures and partly because our understanding of their interactions in biological environments is incomplete. This review addresses the second limitation. We review experimental and computational methods currently available to understand molecular mechanisms, with particular attention to usNP-protein complexation, and highlight areas where further progress is needed. We discuss approaches that we find most promising to provide relevant molecular-level insight for designing usNPs with specific behaviors and pave the way to translational applications.

Quantitative mechanistic model for ultrasmall nanoparticle-protein interactions

To date, extensive effort has been devoted toward the characterization of protein interactions with synthetic nanostructures. However, much remains to be understood, particularly concerning microscopic mechanisms of interactions. Here, we have conducted a detailed investigation of the kinetics of nanoparticle-protein complexation to gain deeper insights into the elementary steps and molecular events along the pathway for complex formation. Toward that end, the binding kinetics between p-mercaptobenzoic acid-coated ultrasmall gold nanoparticles (AuMBA) and fluorescently-labeled ubiquitin was investigated at millisecond time resolution using stopped-flow spectroscopy. It was found that both the association and dissociation kinetics consisted of multiple exponential phases, hence suggesting a complex, multi-step reaction mechanism. The results fit into a picture where complexation proceeds through the formation of a weakly-bound first-encounter complex with an apparent binding affinity (KD) of ∼9 μM. Encounter complex formation is followed by unimolecular tightening steps of partial desolvation/ion removal and conformational rearrangement, which, collectively, achieve an almost 100-fold increase in affinity of the final bound state (apparent KD ∼0.1 μM). The final state is found to be weakly stabilized, displaying an average lifetime in the range of seconds. Screening of the electrostatic forces at high ionic strength weakens the AuMBA-ubiquitin interactions by destabilizing the encounter complex, whereas the average lifetime of the final bound state remains largely unchanged. Overall, our rapid kinetics investigation has revealed novel quantitative insights into the molecular-level mechanisms of ultrasmall nanoparticle-protein interactions.

Signal and binding. I. Physico-chemical response to macromolecule-ligand interactions

Obtaining a detailed knowledge about energetics of ligand-macromolecule interactions is a prerequisite for elucidation of the nature, behavior, and activities of the formed complexes. The most commonly used methods in characterizing molecular interactions are physico-chemical techniques based mainly on spectroscopic, calorimetric, hydrodynamic, etc., measurements. The major advantage of the physico-chemical methods is that they do not require large quantities of material and, if performed carefully, do not perturb examined reactions. Applications of several different physico-chemical approaches, commonly encountered in analyses of biochemical interactions, are here reviewed and discussed, using examples of simple binding reactions. It is stressed that without determination of the relationship between the measured signal and the total average degree of binding, the performed analysis of a single physico-chemical titration curve may provide only fitting parameters, instead of meaningful interaction parameters, already for the binding systems with only two ligand molecules. Some possible pitfalls in the analyses of single titration curves are discussed.

Signal and binding. II. Converting physico-chemical responses to macromolecule-ligand interactions into thermodynamic binding isotherms

Physico-chemical titration techniques are the most commonly used methods in characterizing molecular interactions. These methods are mainly based on spectroscopic, calorimetric, hydrodynamic, etc., measurements. However, truly quantitative physico-chemical methods are absolutely based on the determination of the relationship between the measured signal and the total average degree of binding in order to obtain meaningful interaction parameters. The relationship between the observed physico-chemical signal of whatever nature and the degree of binding must be determined and not assumed, based on some ad hoc intuitive relationship/model, leading to determination of the true binding isotherm. The quantitative methods reviewed and discussed here allow an experimenter to rigorously determine the degree of binding and the free ligand concentration, i.e., they lead to the construction of the thermodynamic binding isotherm in a model-independent fashion from physico-chemical titration curves.

Cooperativity in Binding Processes: New Insights from Phenomenological Modeling

Cooperative binding is one of the most interesting and not fully understood phenomena involved in control and regulation of biological processes. Here we analyze the simplest phenomenological model that can account for cooperativity (i.e. ligand binding to a macromolecule with two binding sites) by generating equilibrium binding isotherms from deterministically simulated binding time courses. We show that the Hill coefficients determined for cooperative binding, provide a good measure of the Gibbs free energy of interaction among binding sites, and that their values are independent of the free energy of association for empty sites. We also conclude that although negative cooperativity and different classes of binding sites cannot be distinguished at equilibrium, they can be kinetically differentiated. This feature highlights the usefulness of pre-equilibrium time-resolved strategies to explore binding models as a key complement of equilibrium experiments. Furthermore, our analysis shows that under conditions of strong negative cooperativity, the existence of some binding sites can be overlooked, and experiments at very high ligand concentrations can be a valuable tool to unmask such sites.

Evidence of Kinetic Cooperativity in Dimeric Ketopantoate Reductase from Staphylococcus aureus

Ketopantoate reductase (KPR) catalyzes the NADPH-dependent production of pantoate, an essential precursor in the biosynthesis of coenzyme A. Previous structural studies have been limited to Escherichia coli KPR, a monomeric enzyme that follows a sequential ordered mechanism. Here we report the crystal structure of the Staphylococcus aureus enzyme at 1.8 Å resolution, the first description of a dimeric KPR. Using sedimentation velocity analysis, we show that the S. aureus KPR dimer is stable in solution. In fact, our structural analysis shows that the dimeric assembly we identify is present in the majority of KPR crystal structures. Steady state analysis of S. aureus KPR reveals strong positive cooperativity with respect to NADPH (Hill coefficient of 2.5). In contrast, high concentrations of the substrate ketopantoate (KP) inhibit the activity of the enzyme. These observations are consistent with a random addition mechanism in which the initial binding of NADPH is the kinetically preferred path. In fact, Förster resonance energy transfer studies of the equilibrium binding of NADPH show only a small degree of cooperativity between subunits (Hill coefficient of 1.3). Thus, the apparently strong cooperativity observed in substrate saturation curves is due to a kinetic process that favors NADPH binding first. This interpretation is consistent with our analysis of the A181L substitution, which increases the Km of ketopantoate 844-fold, without affecting kcat. The crystal structure of KPRA181L shows that the substitution displaces Ser239, which is known to be important for the binding affinity of KP. The decrease in KP affinity would enhance the already kinetically preferred NADPH binding path, making the random mechanism appear to be sequentially ordered and reducing the kinetic cooperativity. Consistent with this interpretation, the NADPH saturation curve for KPRA181L is hyperbolic.