Catalysing new reactions during evolution: economy of residues and mechanism

The diversity of function in some enzyme superfamilies shows that during evolution, enzymes have evolved to catalyse different reactions on the same structure scaffold. In this analysis, we examine in detail how enzymes can modify their chemistry, through a comparison of the catalytic residues and mechanisms in 27 pairs of homologous enzymes of totally different functions. We find that evolution is very economical. Enzymes retain structurally conserved residues to aid catalysis, including residues that bind catalytic metal ions and modulate cofactor chemistry. We examine the conservation of residue type and residue function in these structurally conserved residue pairs. Additionally, enzymes often retain common mechanistic steps catalyzed by structurally conserved residues. We have examined these steps in the context of their overall reactions.     

Quantitative Comparison of Catalytic Mechanisms and Overall Reactions in Convergently Evolved Enzymes: Implications for Classification of Enzyme Function

Functionally analogous enzymes are those that catalyze similar reactions on similar substrates but do not share common ancestry, providing a window on the different structural strategies nature has used to evolve required catalysts. Identification and use of this information to improve reaction classification and computational annotation of enzymes newly discovered in the genome projects would benefit from systematic determination of reaction similarities. Here, we quantified similarity in bond changes for overall reactions and catalytic mechanisms for 95 pairs of functionally analogous enzymes (non-homologous enzymes with identical first three numbers of their EC codes) from the MACiE database. Similarity of overall reactions was computed by comparing the sets of bond changes in the transformations from substrates to products. For similarity of mechanisms, sets of bond changes occurring in each mechanistic step were compared; these similarities were then used to guide global and local alignments of mechanistic steps. Using this metric, only 44% of pairs of functionally analogous enzymes in the dataset had significantly similar overall reactions. For these enzymes, convergence to the same mechanism occurred in 33% of cases, with most pairs having at least one identical mechanistic step. Using our metric, overall reaction similarity serves as an upper bound for mechanistic similarity in functional analogs. For example, the four carbon-oxygen lyases acting on phosphates (EC 4.2.3) show neither significant overall reaction similarity nor significant mechanistic similarity. By contrast, the three carboxylic-ester hydrolases (EC 3.1.1) catalyze overall reactions with identical bond changes and have converged to almost identical mechanisms. The large proportion of enzyme pairs that do not show significant overall reaction similarity (56%) suggests that at least for the functionally analogous enzymes studied here, more stringent criteria could be used to refine definitions of EC sub-subclasses for improved discrimination in their classification of enzyme reactions. The results also indicate that mechanistic convergence of reaction steps is widespread, suggesting that quantitative measurement of mechanistic similarity can inform approaches for functional annotation.     

Towards kinetic modeling of genome-scale metabolic networks without sacrificing stoichiometric,thermodynamic and physiological constraints

Mathematical modeling is an essential tool for the comprehensive understanding of cell metabolism and its interactions with the environmental and process conditions. Recent developments in the construction and analysis of stoichiometric models made it possible to define limits on steady-state metabolic behavior using flux balance analysis. However, detailed information on enzyme kinetics and enzyme regulation is needed to formulate kinetic models that can accurately capture the dynamic metabolic responses. The use of mechanistic enzyme kinetics is a difficult task due to uncertainty in the kinetic properties of enzymes. Therefore, the majority of recent works considered only mass action kinetics for reactions in metabolic networks. Herein, we applied the optimization and risk analysis of complex living entities (ORACLE) framework and constructed a large-scale mechanistic kinetic model of optimally grown Escherichia coli. We investigated the complex interplay between stoichiometry, thermodynamics, and kinetics in determining the flexibility and capabilities of metabolism. Our results indicate that enzyme saturation is a necessary consideration in modeling metabolic networks and it extends the feasible ranges of metabolic fluxes and metabolite concentrations. Our results further suggest that enzymes in metabolic networks have evolved to function at different saturation states to ensure greater flexibility and robustness of cellular metabolism.     

Structural and functional dissection of aminocoumarin antibiotic biosynthesis: a review

Aminocoumarin antibiotics are natural products of soil-dwelling bacteria called Streptomycetes. They are potent inhibitors of DNA gyrase, an essential bacterial enzyme and validated drug target, and thus have attracted considerable interest as potential templates for drug development. To date, aminocoumarins have not seen widespread clinical application on account of their poor pharmacological properties. Through studying the structures and mechanisms of enzymes from their biosynthetic pathways we will be better informed to redesign these compounds through rational pathway engineering. Novobiocin, the simplest compound, requires at least seventeen gene products to convert primary metabolites into the mature antibiotic. We have solved the crystal structures of four diverse biosynthetic enzymes from the novobiocin pathway, and used these as three-dimensional frameworks for the interpretation of functional and mechanistic data, and to speculate about how they might have evolved. The structure determinations have ranged from the routine to the challenging, necessitating a variety of different approaches.     

The evolution of phosphatidylinositol 3-kinases as regulators of growth and metabolism

Phosphatidylinositol 3-kinases (PI3Ks) evolved from a single enzyme that regulates vesicle trafficking in unicellular eukaryotes into a family of enzymes that regulate cellular metabolism and growth in multicellular organisms. In this review, we examine how the PI3K pathway has evolved to control these fundamental processes, and how this pathway is in turn regulated by intricate feedback and crosstalk mechanisms. In light of the recent advances in our understanding of the function of PI3Ks in the pathogenesis of diabetes and cancer, we discuss the exciting therapeutic opportunities for targeting this pathway to treat these diseases.     

Studies on structure-based sequence alignment and phylogenies of beta-lactamases

The β-lactamases enzymes cleave the amide bond in β-lactam ring, rendering β-lactam antibiotics harmless to bacteria. In this communication we have studied structure-function relationship and phylogenies of class A, B and D beta-lactamases using structure-based sequence alignment and phylip programs respectively. The data of structure-based sequence alignment suggests that in different isolates of TEM-1, mutations did not occur at or near sequence motifs. Since deletions are reported to be lethal to structure and function of enzyme. Therefore, in these variants antibiotic hydrolysis profile and specificity will be affected. The alignment data of class A enzyme SHV-1, CTX-M-15, class D enzyme, OXA-10, and class B enzyme VIM-2 and SIM-1 show sequence motifs along with other part of polypeptide are essentially conserved. These results imply that conformations of betalactamases are close to native state and possess normal hydrolytic activities towards beta-lactam antibiotics. However, class B enzyme such as IMP-1 and NDM-1 are less conserved than other class A and D studied here because mutation and deletions occurred at critically important region such as active site. Therefore, the structure of these beta-lactamases will be altered and antibiotic hydrolysis profile will be affected. Phylogenetic studies suggest that class A and D beta-lactamases including TOHO-1 and OXA-10 respectively evolved by horizontal gene transfer (HGT) whereas other member of class A such as TEM-1 evolved by gene duplication mechanism. Taken together, these studies justify structure-function relationship of beta-lactamases and phylogenetic studies suggest these enzymes evolved by different mechanisms.     

Pathway engineering by designed divergent evolution

Designed divergent evolution is a proposed protein engineering methodology to redesign enzyme function. The methodology was developed on the basis of the theories of divergent molecular evolution: (i) enzymes with more active and specialized functions have evolved from ones with promiscuous functions; (ii) this process is driven by small numbers of amino acid substitutions (plasticity); and (iii) the effects of double or multiple mutations are often additive (quasi-additive assumption). Thus, in many cases the impact of multiple mutations can be calculated by first determining the effects of a mutation at a single position and subsequently summing these effects using the quasi-additive assumption. In this way, the shape of the fitness landscape of a particular enzyme function can be estimated. The combinations of mutations predicted to yield global optima for desired functions can then be selected and introduced into the enzymes. The methodology has been demonstrated to be very powerful to redesign enzyme function. The use of multiple redesigned enzymes in novel or reconstructed metabolic pathways will enable the production of natural and unnatural products that will find use as pharmaceuticals, agrochemicals and many other applications.     

Shared promiscuous activities and evolutionary features in various members of the amidohydrolase superfamily

The amidohydrolase superfamily comprises hundreds of hydrolytic enzymes of the (beta/alpha)8 barrel fold with mono- or binuclear active-site metal centers, and a diverse spectrum of substrates and reactions. Promiscuous activities, or cross-reactivities, between different members of the same superfamily may provide important hints regarding evolutionary and mechanistic relationships. We examined three members: dihydroorotase (DHO), phosphotriesterase (PTE), and PTE-homology protein (PHP). Of particular interest are PTE, which is thought to have evolved within the last several decades, and PHP, an amidohydrolase superfamily member of unknown function, and the closest known homologue of PTE. We found a diverse and partially overlapping pattern of promiscuous activities in these enzymes, including a significant lactonase activity in PTE, esterase activities in both PTE and PHP, and a weak PTE activity in DHO. Directed evolution was applied to improve the promiscuous esterase activities of PTE and PHP. Remarkably, the most recurrent mutation increasing esterase activity in PTE, or PHP, maps to the same location in their superposed 3D structures. The evolved variants also exhibit newly acquired promiscuous activities that were not selected for, including very weak, yet measurable, paraoxonase activity in PHP. Our results illustrate the mechanistic, structural, and evolutionary links between these enzymes, and highlight the importance of studying laboratory evolution intermediates that might resemble node intermediates along the evolutionary pathways leading to the divergence of enzyme superfamilies.     

The Natural History of Biocatalytic Mechanisms

Phylogenomic analysis of the occurrence and abundance of protein domains in proteomes has recently showed that the α/β architecture is probably the oldest fold design. This holds important implications for the origins of biochemistry. Here we explore structure-function relationships addressing the use of chemical mechanisms by ancestral enzymes. We test the hypothesis that the oldest folds used the most mechanisms. We start by tracing biocatalytic mechanisms operating in metabolic enzymes along a phylogenetic timeline of the first appearance of homologous superfamilies of protein domain structures from CATH. A total of 335 enzyme reactions were retrieved from MACiE and were mapped over fold age. We define a mechanistic step type as one of the 51 mechanistic annotations given in MACiE, and each step of each of the 335 mechanisms was described using one or more of these annotations. We find that the first two folds, the P-loop containing nucleotide triphosphate hydrolase and the NAD(P)-binding Rossmann-like homologous superfamilies, were α/β architectures responsible for introducing 35% (18/51) of the known mechanistic step types. We find that these two oldest structures in the phylogenomic analysis of protein domains introduced many mechanistic step types that were later combinatorially spread in catalytic history. The most common mechanistic step types included fundamental building blocks of enzyme chemistry: “Proton transfer,” “Bimolecular nucleophilic addition,” “Bimolecular nucleophilic substitution,” and “Unimolecular elimination by the conjugate base.” They were associated with the most ancestral fold structure typical of P-loop containing nucleotide triphosphate hydrolases. Over half of the mechanistic step types were introduced in the evolutionary timeline before the appearance of structures specific to diversified organisms, during a period of architectural diversification. The other half unfolded gradually after organismal diversification and during a period that spanned ∼2 billion years of evolutionary history.     

Biochemical and structural insights into intramembrane metalloprotease mechanisms

Intramembrane metalloproteases are nearly ubiquitous in living organisms and they function in diverse processes ranging from cholesterol homeostasis and the unfolded protein response in humans to sporulation, stress responses, and virulence of bacteria. Understanding how these enzymes function in membranes is a challenge of fundamental interest with potential applications if modulators can be devised. Progress is described toward a mechanistic understanding, based primarily on molecular genetic and biochemical studies of human S2P and bacterial SpoIVFB and RseP, and on the structure of the membrane domain of an archaeal enzyme. Conserved features of the enzymes appear to include transmembrane helices and loops around the active site zinc ion, which may be near the membrane surface. Extramembrane domains such as PDZ (PSD-95, DLG, ZO-1) or CBS (cystathionine-β-synthase) domains govern substrate access to the active site, but several different mechanisms of access and cleavage site selection can be envisioned, which might differ depending on the substrate and the enzyme. More work is needed to distinguish between these mechanisms, both for enzymes that have been relatively well-studied, and for enzymes lacking PDZ and CBS domains, which have not been studied. This article is part of a Special Issue entitled: Intramembrane Proteases.     

Elucidation of enzyme mechanisms using fluorinated substrate analogues

A great variety of biological reactions that are physiologically important are catalyzed by enzymes. Understanding the reaction course of these enzyme-catalyzed transformations are of significant importance since the insights gained from these experiments may facilitate the design of methods to control or mimic their actions. A common strategy to study enzyme catalyses is to use fluorinated substrate analogues as mechanistic probes, since fluorine is an effective hydroxyl group mimic and can also be used to replace a hydrogen atom. Using fluorinated substrate probes have enabled researchers to obtain crucial information regarding the catalytic mechanism of enzymatic reactions. Many of these compounds are good enzyme inhibitors and have been developed into clinically useful chemotherapeutic agents. This review will discuss some examples of the use of fluorine containing compounds as mechanistic probes/enzyme inhibitors, many of which are selected from our own work.     

Substrate recognition and catalysis by UCH-L1

Deubiquitinating enzymes regulate essential cellular processes, and their dysregulation is implicated in multiple disease states. Ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) has garnered attention for its links with Parkinson's disease and cancer; however, the mechanism of action of this enzyme in cells remains poorly understood. In order to advance our understanding of UCH-L1 function, we have been developing small molecule modulators of the enzyme for use as tools to probe its role in cells. In support of these efforts, an investigation of the mechanism of UCH-L1 catalysis was previously reported. Here, we extend this mechanistic evaluation and examine substrate recognition by UCH-L1. We developed a panel of ubiquitin fusions to test the contribution of specific residues of ubiquitin to binding and catalysis by the enzyme, and determined the activation parameters of selected variants to gain additional mechanistic insight. Ubiquitin side chains critical for establishing the Michaelis complex and enabling catalysis were identified, and features of this complex that differ between UCH-L1 and a homologue, UCH-L3, were revealed. These data provide dramatic examples of differences in substrate specificity between these enzymes. The implications of our experiments with UCH-L1 for selective inhibitor design and the relationship to disease are discussed.     

Elucidating the mechanisms of coupled electron transfer and catalytic reactions by protein film voltammetry

Protein film voltammetry, the direct electrochemistry of redox enzymes and proteins, provides precise and comprehensive information on complicated reaction mechanisms. By controlling the driving force for a reaction (using the applied potential) and monitoring the reaction in real time (using the current), it allows thermodynamic and kinetic information to be determined simultaneously. Two challenges are inherent to protein film voltammetry: (i) to adsorb the protein or enzyme in a native and active configuration on the electrode surface, and (ii) to understand and interpret voltammetric results on both a qualitative and quantitative level, allowing mechanistic models to be proposed and rigorous experiments to test these models to be devised. This review focuses on the second of these two challenges. It describes how to use protein film voltammetry to derive mechanistic and biochemically relevant information about redox proteins and enzymes, and how to evaluate and interpret voltammetric results. Selected key studies are described in detail, to illustrate their underlying principles, strategies and physical interpretations.     

Kynureninase-type enzymes and the evolution of the aerobic tryptophan-to-nicotinamide adenine dinucleotide pathway.

Kynureninase-type (L-kynurenine hydrolase, EC 3.7.1.3) activity has been found to be present in the livers of fish, amphibia, reptiles, and birds. In addition to past information concerning this enzyme activity in mammalian liver, it is now clear that all the major classes of vertebrates carry a highly specialized kynureninase-type enzyme, which we have termed a hydroxykynureninase. To compare the reactivities of these enzymes with L-kynurenine and L-3-hydroxykynurenine, ratios of tau values (Km/V) were used. Based on this comparison, the bacterium Pseudomonas fluorescens carries the most efficient kynureninase, whereas the amphibian Xenopus laevis has the most efficient hydroxykynureniase. In these two cases, the ratio of tau values differs by a factor of 38 000. It is hypothesized that the tryptophan-to-nicotinamide adenine dinucleotide biosynthetic pathway evolved from a catabolic system of enzymes, and that the differences observed in the kynureninase-type enzymes between lower and higher organisms reflect the specialization of the function of these enzymes from a strictly catabolic role to an anabolic one during the course of evolution.     

Elucidating the mechanisms of coupled electron transfer and catalytic reactions by protein film voltammetry

Protein film voltammetry, the direct electrochemistry of redox enzymes and proteins, provides precise and comprehensive information on complicated reaction mechanisms. By controlling the driving force for a reaction (using the applied potential) and monitoring the reaction in real time (using the current), it allows thermodynamic and kinetic information to be determined simultaneously. Two challenges are inherent to protein film voltammetry: (i) to adsorb the protein or enzyme in a native and active configuration on the electrode surface, and (ii) to understand and interpret voltammetric results on both a qualitative and quantitative level, allowing mechanistic models to be proposed and rigorous experiments to test these models to be devised. This review focuses on the second of these two challenges. It describes how to use protein film voltammetry to derive mechanistic and biochemically relevant information about redox proteins and enzymes, and how to evaluate and interpret voltammetric results. Selected key studies are described in detail, to illustrate their underlying principles, strategies and physical interpretations.     

Aminoacyl-tRNA synthetase families and their significance to the origin of the genetic code

A correlation of various aspects of the protein structures and substrate and mechanistic specificities of the aminoacyl-tRNA synthetases has led to the identification of at least one family of enzymes probably derived from a common ancestral synthetase. While strong correlations exist only in one part of the array of 64 codons comprising the Genetic Code, this itself may be interpreted as a meaningful pattern, most consistent with a development of the present code from earlier codes containing fewer amino acids and fewer available codons. Specifically, strong correlations in the enzymes whose cognate tRNAs respond to codons containing a central pyrimidine, including the enzyme family of Ile-, Phe-, Val-, Met-, and Leu-tRNA synthetases, suggests that these enzymes evolved last, and that, therefore, an earlier version of the Genetic Code was comprised solely of codons containing a central purine. It is suggested that further study of the historical interrelationships of these enzymes could lead to a fairly detailed picture of how the Genetic Code developed.     

A mechanistic view of enzyme evolution

New enzyme functions often evolve through the recruitment and optimization of latent promiscuous activities. How do mutations alter the molecular architecture of enzymes to enhance their activities? Can we infer general mechanisms that are common to most enzymes, or does each enzyme require a unique optimization process? The ability to predict the location and type of mutations necessary to enhance an enzyme's activity is critical to protein engineering and rational design. In this review, via the detailed examination of recent studies that have shed new light on the molecular changes underlying the optimization of enzyme function, we provide a mechanistic perspective of enzyme evolution. We first present a global survey of the prevalence of activity‐enhancing mutations and their distribution within protein structures. We then delve into the molecular solutions that mediate functional optimization, specifically highlighting several common mechanisms that have been observed across multiple examples. As distinct protein sequences encounter different evolutionary bottlenecks, different mechanisms are likely to emerge along evolutionary trajectories toward improved function. Identifying the specific mechanism(s) that need to be improved upon, and tailoring our engineering efforts to each sequence, may considerably improve our chances to succeed in generating highly efficient catalysts in the future.     

Increasing the thermal stability of an oligomeric protein, beta-glucuronidase.

The reporter enzyme beta-glucuronidase was mutagenized and evolved for thermostability. After four cycles of screening the best variant was more active than the wild-type enzyme, and retained function at 70 degrees C, whereas the wild-type enzyme lost function at 65 degrees C. Variants derived from sequential mutagenesis were shuffled together, and re-screened for thermostability. The best variants retained activities at even higher temperatures (80 degrees C), but had specific activities that were now less than that of the wild-type enzyme. The mutations clustered near the tetramer interface of the enzyme, and many of the evolved variants showed much greater resistance to quaternary structure disruption at high temperatures, which is also a characteristic of naturally thermostable enzymes. Together, these results suggest a pathway for the evolution of thermostability in which enzymes initially become stable at high temperatures without loss of activity at low temperatures, while further evolution leads to enzymes that have kinetic parameters that are optimized for high temperatures.     

Enzyme activation for nonaqueous media

Highly active enzyme formulations can be prepared for use in nonaqueous media. Considerable progress has been made in the past two years on gaining an improved mechanistic understanding of enzyme function and activation in dehydrated environments. This increased fundamental understanding has led to the development of a broad array of techniques for generating active, stable, and enantioselective and regioselective tailored enzymes for synthetically relevant transformations. This, in turn, is resulting in an exponential increase in the opportunities for enzymatic processes to be developed on a commercial scale.