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PubMed1976

The evolution of function in enzymes.

The evolution of function appears to have proceeded from a primordial catalyst with little specificity to a highly specific one. As specificity increased, the need to exclude water created a need for flexibility, and flexibility in time led to regulation through induced conformational changes. Induced conformational changes in multisubunit proteins then produced cooperativity. Each of these properties is subject ot fine tuning by modification of the protein structure. The function of the enzyme is itself tuned to high efficiency by the evolution of these interrelated functions.

Allosteric Regulation↗
PubMed2005

Directed evolution of enzyme stability.

Modern enzyme development relies to an increasing extent on strategies based on diversity generation followed by screening for variants with optimised properties. In principle, these directed evolution strategies might be used for optimising any enzyme property, which can be screened for in an economically feasible way, even if the molecular basis of that property is not known. Stability is an interesting property of enzymes because (1) it is of great industrial importance, (2) it is relatively easy to screen for, and (3) the molecular basis of stability relates closely to contemporary issues in protein science such as the protein folding problem and protein folding diseases. Thus, engineering enzyme stability is of both commercial and scientific interest. Here, we review how directed evolution has contributed to the development of stable enzymes and to new insight into the principles of protein stability. Several recent examples are described. These examples show that directed evolution is an effective strategy to obtain stable enzymes, especially when used in combination with rational or semi-rational engineering strategies. With respect to the principles of protein stability, some important lessons to learn from recent efforts in directed evolution are (1) that there are many structural ways to stabilize a protein, which are not always easy to rationalize, (2) that proteins may very well be stabilized by optimizing their surfaces, and (3) that high thermal stability may be obtained without forfeiture of catalytic performance at low temperatures.

Animals↗
PubMed2003

Phage display as a tool for the directed evolution of enzymes.

Since its introduction in 1985, phage display has had a tremendous impact on the discovery of peptides that bind to a variety of receptors, the generation of binding sites within predefined scaffolds, and the creation of high-affinity antibodies without immunization. Its application to enzymology has required the development of techniques that couple enzymatic activity to selection protocols based on affinity chromatography. Here, we describe both indirect methods, using transition-state analogues and suicide substrates, and direct methods, using the ability of active phage-enzymes to transform substrate into product. The methods have been applied to large libraries for mechanistic-based studies and to generate variants with new or improved properties. In addition, such techniques have been successfully used to select catalytic antibodies and improve their catalytic efficiency.

Allosteric Site↗
PubMed2004

Directed evolution of enzymes for biocatalysis and the life sciences.

Engineering the specificity and properties of enzymes and proteins within rapid time frames has become feasible with the advent of directed evolution. In the absence of detailed structural and mechanistic information, new functions can be engineered by introducing and recombining mutations, followed by subsequent testing of each variant for the desired new function. A range of methods are available for mutagenesis, and these can be used to introduce mutations at single sites, targeted regions within a gene or randomly throughout the entire gene. In addition, a number of different methods are available to allow recombination of point mutations or blocks of sequence space with little or no homology. Currently, enzyme engineers are still learning which combinations of selection methods and techniques for mutagenesis and DNA recombination are most efficient. Moreover, deciding where to introduce mutations or where to allow recombination is actively being investigated by combining experimental and computational methods. These techniques are already being successfully used for the creation of novel proteins for biocatalysis and the life sciences.

Catalysis↗
PubMed2006

Designed divergent evolution of enzyme function.

It is generally believed that proteins with promiscuous functions divergently evolved to acquire higher specificity and activity, and that this process was highly dependent on the ability of proteins to alter their functions with a small number of amino acid substitutions (plasticity). The application of this theory of divergent molecular evolution to promiscuous enzymes may allow us to design enzymes with more specificity and higher activity. Many structural and biochemical analyses have identified the active or binding site residues important for functional plasticity (plasticity residues). To understand how these residues contribute to molecular evolution, and thereby formulate a design methodology, plasticity residues were probed in the active site of the promiscuous sesquiterpene synthase gamma-humulene synthase. Identified plasticity residues were systematically recombined based on a mathematical model in order to construct novel terpene synthases, each catalysing the synthesis of one or a few very different sesquiterpenes. Here we present the construction of seven specific and active synthases that use different reaction pathways to produce the specific and very different products. Creation of these enzymes demonstrates the feasibility of exploiting the underlying evolvability of this scaffold, and provides evidence that rational approaches based on these ideas are useful for enzyme design.

Alkyl and Aryl Transferases↗
PubMed2004

Metagenomics, gene discovery and the ideal biocatalyst.

With the rapid development of powerful protein evolution and enzyme-screening technologies, there is a growing belief that optimum conditions for biotransformation processes can be established without the constraints of the properties of the biocatalyst. These technologies can then be applied to find the "ideal biocatalyst" for the process. In identifying the ideal biocatalyst, the processes of gene discovery and enzyme evolution play major roles. However, in order to expand the pool genes for in vitro evolution, new technologies, which circumvent the limitations of microbial culturability, must be applied. These technologies, which currently include metagenomic library screening, gene-specific amplification methods and even full metagenomic sequencing, provide access to a volume of "sequence space" that is not addressed by traditional screening.

Bacterial Proteins↗
PubMed1999

Experimental evolution of Ebg enzyme provides clues about the evolution of catalysis and to evolutionary potential.

The ebg (evolved beta-galactosidase) operon of Escherichia coli has been used since 1974 as a model system to dynamically study the evolutionary processes which have led to catalytic efficiency and substrate specificity in enzymes. Wild-type ebg beta-galactosidase, encoded by ebgA, is a catalytically feeble enzyme that does not hydrolyze lactose or other beta-galactosidase efficiently enough to permit growth on those substrates. Each of two specific base substitutions at widely separated sites increases catalytic activity sufficiently to permit growth, and the combination of the two mutations further increases catalytic effectiveness and expands the substrate range of the enzyme in a non-additive fashion. Experimental studies suggested that in the 3126 bp coding region those two substitutions were the only mutations capable of increasing activity toward lactose sufficiently to permit growth. Alignment of EbgA with the LacZ beta-galactosidase showed that both mutations were in active site amino acids. Multiple alignment and phylogenetic analysis of EbgA, LacZ, and 12 other related beta-galactosidases showed that EbgA and LacZ diverged from a common ancestor at least 2.2 billion years ago, that they belonged to different subclasses of the family of 14 beta-galactosidases, that the two subclasses differed at 12 of the 15 active site residues, and confirmed that the two previously identified mutations in ebgA are the only ones that can lead to enzyme with sufficient activity on lactose to permit growth. Studies of the catalytic mechanism of Ebg beta-galactosidase have allowed the widely accepted Albery and Knowles model for the evolution of catalysis to be rejected.

Amino Acid Sequence↗
PubMed1997

NADP-dependent enzymes. II: Evolution of the mono- and dinucleotide binding domains.

Nicotinamide adenine dinucleotides [NAD and NADP with both referred to as NAD(P)] are among the more diffuse redox cofactors. Despite their stereochemical similarity where the only difference is a phosphomonoester on the ribose near the adenine of NADP, they show different biochemical reactivities with NAD behaving as an oxidant and NADP as a reductant. NAD(P)-dependent enzymes generally share a common open alpha/beta fold with few exceptions only recently structurally characterized. This study of the molecular evolution of the NAD(P) binding domains, possible given the large number of known molecular structures, addresses two main questions: 1) can a common fold exist in different biological systems (divergent evolution) and 2) does a relationship exist among similar biological systems that display different folds (convergent evolution)? Both the structures of mono- and dinucleotide binding domains have been classified by cluster analysis based on the similarity evaluated by their main chain C alpha superposition. Moreover, the cofactor conformations and the stereochemical characteristics of their pockets have also been classified by analogous methods on the basis of the published tertiary structures. Two primary results appear: 1) the classification of the mononucleotide binding domains is different from that of the dinucleotide binding folds and 2) both divergent and convergent evolutionary pathways can be hypothesized, the latter less frequently observed and less pronounced but nevertheless evident. The generally accepted hypothesis that dinucleotide binding domains have evolved by gene duplication of primordial genes coding for the smaller mononucleotide binding domains is acceptable but the two halves of the resulting dinucleotide binding domains are evolutionarily uncorrelated. The NH2-terminal mononucleotide binding domain is less variable than the COOH-terminal half, probably because it involves the binding of the ADP moiety of NAD(P) invariant in all examined systems. There is evidence to postulate that evolutionary pathways for NAD(P)-dependent enzymes are both divergent and convergent. In fact, nearly all combinations of similarity dissimilarity in overall fold, cofactor conformation, and cofactor binding pocket structural characteristics for each enzyme pair examined are possible. The NAD(P)-dependent enzymes apparently provide a canonical example of an evolutionary principle that "anything goes."

Animals↗
PubMed1995

Evolutionary dynamics of enzymes.

This paper codifies and rationalizes the large diversity in reaction rates and substrate specificity of enzymes in terms of a model which postulates that the kinetic properties of present-day enzymes are the consequence of the evolutionary force of mutation and selection acting on a class of primordial enzymes with poor catalytic activity and broad substrate specificity. Enzymes are classified in terms of their thermodynamic parameters, activation enthalpy delta H* and activation entropy delta S*, in their kinetically significant transition states as follows: type 1, delta H* > 0, delta S* < 0; type 2, delta H* < or = 0, delta S* < or = 0; type 3, delta H* > 0, delta S* > 0. We study the evolutionary dynamics of these three classes of enzymes subject to mutation, which acts at the level of the gene which codes for the enzyme and selection, which acts on the organism that contains the enzyme. Our model predicts the following evolutionary trends in the reaction rate and binding specificity for the three classes of molecules. In type 1 enzymes, evolution results in random, non-directional changes in the reaction rate and binding specificity. In type 2 and 3 enzymes, evolution results in a unidirectional increase in both the reaction rate and binding specificity. We exploit these results in order to codify the diversity in functional properties of present-day enzymes. Type 1 molecules will be described by intermediate reaction rates and broad substrate specificity. Type 2 enzymes will be characterized by diffusion-controlled rates and absolute substrate specificity. The type 3 catalysts can be further subdivided in terms of their activation enthalpy into two classes: type 3a (delta H* small) and type 3b (delta H* large). We show that type 3a will be represented by the same functional properties that identify type 2, namely, diffusion-controlled rates and absolute substrate specificity, whereas type 3b will be characterized by non-diffusion-controlled rates and absolute substrate specificity. We infer from this depiction of the three classes of enzymes, a general relation between the two functional properties, reaction rate and substrate specificity, namely, enzymes with diffusion-controlled rates have absolute substrate specificity. By appealing to energetic considerations, we furthermore show that enzymes with diffusion-controlled rates (types 2 and 3a) form a small subset of the class of all enzymes. This codification of present-day enzymes derived from an evolutionary model, essentially relates the structural properties of enzymes, as described by their thermodynamic parameters, to their functional properties, as represented by the reaction rate and substrate specificity.

Animals↗
PubMed1977

Evolution of enzyme catalytic power. Characteristics of optimal catalysis evaluated for the simplest plausible kinetic model.

1. Evolutionary changes in the structure of an enzyme that provide an increase in its K(m) value are considered. Provided that K(m) increases as a result of increases in the forward rate constants of the catalysis relative to the reverse rate constants, the enzyme catalyses the conversion of a fixed concentration of its substrate more rapidly when its structure provides that K(m)>[S] than when K(m)<[S]. 2. Catalytic efficiency of enzymes is discussed in terms of the simplest plausible model, the Haldane [(1930) Enzymes, Longmans, London] reversible three-step model: [Formula: see text] The rate equation for the forward reaction of this model (formation of P) may be written in the simple form: [Formula: see text] K(eq.) is the equilibrium constant (=[P](eq.)/[S](eq.)), and k(cat.)=V/[E](T), where [E](T) is the total enzyme concentration. 3. To assess the effectiveness of an enzyme, it is necessary only to determine the extent to which the constraints of a particular kinetic mechanism permit v(2) (v when K(m)>>[S]) to approach v(d) (the diffusion-limited rate). 4. The value of the optimal rate of catalysis (v(opt.), the maximal value of v(2)) is dictated by the equilibrium constant for the reaction, K(eq.); v(2)=v(d)/a, where [Formula: see text] when k(+1) is assumed equal to k(-3), and v(opt.)=v(d)/a(min.). When K(eq.)>/=1, it is necessary that k(+2)>>k(-1) for a to take its minimum value, a(min.); when K(eq.)<<1, it is necessary only that k(+2)>>K(eq.).k(-1), i.e. a can equal a(min.) even if k(+2) >1, v(opt.)=v(d); when K(eq.)=1, v(opt.)=v(d)/2, and when K(eq.)<<1, v(opt.)=K(eq.).v(d). 5. The analysis, together with predicted effects of evolutionary pressure, suggests that in practice the rates of the fastest enzyme-catalysed freely reversible reactions might be expected to be lower than the value of k(+1)[E](T)[S] by about an order of magnitude, particularly if K(eq.)<1. 6. The existing literature suggests that, in general, appropriate values of K(m) have evolved for the provision of high rates of catalysis but that many values of k(cat.) are not large enough to provide optimal rates of catalysis unless the value of k(+1)in vivo is lower than its value in free solution.

Biological Evolution↗
PubMed2001

[Gaucher's disease with D409H/D409H genotype. evolution with enzyme replacement therapy].

Gaucher's disease is caused by mutations in the gene encoding glucocerebrosidase. The D409H mutation is the third most frequent mutation in Spain and has been associated with a particular phenotype, including oculomotor apraxia and cardiac valvular calcifications in late childhood. We report a 4-year-old patient, homozygous for the D409H mutation, who was diagnosed with Gaucher's disease at the age of 45days. Enzyme replacement therapy was started at the age of 2months. We report the patient's evolution after 4years of treatment.

Child, Preschool↗
PubMed2003

The evolution of enzyme specificity in Fasciola spp.

Fasciola spp., commonly known as liver fluke, are significant trematode parasites of livestock and humans. They secrete several cathepsin L-like cysteine proteases, some of which differ in enzymatic properties and timing of expression in the parasite's life cycle. A detailed sequence and evolutionary analysis is presented, based on 18 cathepsin L-like enzymes isolated from Fasciola spp. (including a novel clone identified in this study). The enzymes form a monophyletic group which has experienced several gene duplication events over the last approximately 135 million years, giving rise to the present-day enzymatic repertoire of the parasite. This timing of these duplications appears to correlate with important points in the evolution of the mammalian hosts. Furthermore, the dates suggest that Fasciola hepatica and Fasciola gigantica diverged around 19 million years ago. A novel analysis, based on the pattern of amino acid diversity, was used to identify sites in the enzyme that are predicted to be subject to positive adaptive evolution. Many of these sites occur within the active site cleft of the enzymes, and hence would be expected to lead to differences in substrate specificity. Using homology modeling, with reference to previously obtained biochemical data, we are able to predict S2 subsite specificity for these enzymes: specifically those that can accommodate bulky hydrophobic residues in the P2 position and those that cannot. A number of other positions subject to evolutionary pressure and potentially significant for enzyme function are also identified, including sites anticipated to diminish cystatin binding affinity.

Amino Acid Sequence↗