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In this issue of Structure, examine in detail the functions of selected domains within proteins both when they are alone and when in combination with others. Domain function is relevant to molecular evolution and to annotation of proteins known only by sequence.
In a previous paper, the combinatorial active-site saturation test (CAST) was introduced as an effective strategy for the directed evolution of enzymes toward broader substrate acceptance. CASTing comprises the systematic design and screening of focused libraries around the complete binding pocket, but it is only the first step of an evolutionary process because only the initial libraries of mutants are considered. In the present study, a simple method is presented for further optimization of initial hits by combining the mutational changes obtained from two different libraries. Combined lipase mutants were screened for hydrolytic activity against six notoriously difficult substrates (bulky carboxylic acid esters) and improved mutants showing significantly higher activity were identified. The enantioselectivity of the mutants in the hydrolytic kinetic resolution of two substrates was also studied, with the best mutant-substrate combination resulting in a selectivity factor of E=49. Finally, the catalytic profile of the evolved mutants in the hydrolysis of simple nonbranched carboxylic acid esters, ranging from acetate to palmitate, was studied for theoretical reasons.
To study the effect proteins have on the catalysis and evolution of RNA enzymes, we simulated evolution of RNase P catalytic M1 RNA in vitro, in the presence and absence of its C5 protein cofactor. In the presence of C5, functional M1 sequence variants (not catalytically active in the absence of C5) were selected in addition to those identical to M1. C5 maintains the catalytically active structure of the variants and allows for an enhanced spectrum of M1 molecules to function in the context of a ribonucleoprotein (RNP) complex. The generation of an RNP enzyme, requiring both RNA and protein components, from a catalytically active RNA molecule has implications for how modern RNP complexes evolved from ancestral RNAs.
Trypanosoma brucei contains an ATP-dependent phosphofructokinase (PFK), located in its glycosomes, which are peroxisome-like organelles sequestering the majority of its glycolytic enzymes. In this paper, we report the cloning and sequencing of the single-copy gene encoding this enzyme. Its amino-acid sequence is more similar to pyrophosphate (PPi)-dependent PFKs than to other ATP-dependent PFKs. A phylogenetic analysis suggests that the enzyme must have been derived from a PPi-dependent ancestral PFK, which changed its phospho-donor specificity during evolution. The enzyme is no longer capable of using PPi as phospho substrate, nor can it catalyze the reverse reaction as PPi-PFKs generally can. Moreover, the presence of a high pyrophosphatase activity in the cell renders it unlikely that PPi can function as free-energy source in present-day trypanosomes. It remains to be determined which mutations were responsible for the change in phospho-substrate specificity of the trypanosomatid PFK. As a result of its particular evolutionary history, the T. brucei PFK shows many structural differences, even at the active site, when compared with other ATP-dependent PFKs. These differences offer great potential for the structure-based design of trypanocidal drugs.
This is the first paper in the series of publications on the detailed description of different aspects of pepsin structure. It concerns the domain structure of the enzyme and the topology of the arrangement of beta-strands in pepsin and related aspartic proteases, this topology being quite different from that of all other beta-proteins. The topology, molecular symmetry and the close proximity of the N- and C-termini of domains suggest that at the first stages of evolution polypeptide chains of some preproteins could be closed in rings, which become open at the subsequent stages. Their genes duplicated twice, and the fusion process resulted in a gene consisting of similar parts.
Rational design of enzymes with improved properties, such as enantioselectivity, usually focuses mutations within the substrate binding site. On the other hand, directed evolution of enzymes usually targets the entire protein and discovers beneficial mutations far from the substrate binding site. In this paper, we propose an explanation for this discrepancy and show that a combined approach--random mutagenesis within the substrate binding site--is better. To increase the enantioselectivity (E) of a Pseudomonas fluorescens esterase (PFE) toward methyl 3-bromo-2-methylpropionate, we focused mutagenesis into the substrate binding site at Trp28, Val121, Phe198, and Val225. Five of the catalytically active mutants (13%) showed better enantioselectivity than wild-type PFE. The increases in enantioselectivity were higher (up to 5-fold, reaching E = 61) than with mutants identified by random mutagenesis of the entire enzyme.
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Two billion years of aerobic evolution have resulted in mammalian cells and tissues that are extremely oxygen-dependent. Exposure to oxygen tensions outside the relatively narrow physiological range results in cellular stress and toxicity. Consequently, hypoxia features prominently in many human diseases, particularly those associated with blood and vascular disorders, including all forms of anemia and ischemia. Bioenergetic enzymes have evolved both acute and chronic oxygen sensing mechanisms to buffer changes of oxygen tension; at normal P(O) oxidative phosphorylation is the principal energy supply for eukaryotic cells, but when the P(O) falls below a critical mark metabolic switches turn off mitochondrial electron transport and activate anaerobic glycolysis. Without this switch cells would suffer an immediate energy deficit and death at low P(O). An intriguing feature of the switching is that the same conditions that regulate energy metabolism also regulate bioenergetic genes, so that enzyme activity and transcription are regulated simultaneously, albeit with different time courses and signaling pathways. In this review we explore the pathways mediating hypoxia-regulated glycolytic enzyme gene expression, focusing on their atavistic traits and evolution.
A new model for the organization and flow of metabolites through a metabolic pathway is presented. The model is based on four major findings. (1) The intracellular concentrations of enzyme sites exceed the concentrations of intermediary metabolites that bind specifically to these sites. (2) The concentration of the excessive enzyme sites in the cell is sufficiently high so that nearly all the cellular intermediary metabolites are enzyme-bound. (3) Enzyme conformations are perturbed by the interactions with substrates and products; the conformations of enzyme-substrate and enzyme-product complexes are different. (4) Two enzymes, catalyzing reactions that are sequential in a metabolic pathway, transfer the common metabolite back and forth via an enzyme-enzyme complex without the intervention of the solvent environment. The model proposes that the enzyme-enzyme recognition is ligand-induced. Conversion of E2S and E2P results in the loss of recognition of E2 by E1 and the concomitant recognition of E2 by E3. This model substantially alters existent views of the bioenergetics and the kinetics of intracellular metabolism. The rates of direct transfer of metabolite from enzyme to enzyme are comparable to the rates of interconversion between substrate and product within an individual enzyme. Consequently, intermediary metabolites are nearly equipartitioned among their high-affinity enzyme sites within a metabolic pathway. Metabolic flux involves the direct transfer of metabolite from enzyme to enzyme via a set of low and nearly equal energy barriers.
SUMMARY: MACiE (mechanism, annotation and classification in enzymes) is a publicly available web-based database, held in CMLReact (an XML application), that aims to help our understanding of the evolution of enzyme catalytic mechanisms and also to create a classification system which reflects the actual chemical mechanism (catalytic steps) of an enzyme reaction, not only the overall reaction. AVAILABILITY: http://www-mitchell.ch.cam.ac.uk/macie/.
BACKGROUND: Barstar is the intracellular inhibitor of barnase, an extracellular RNAse of Bacillus amyloliquefaciens. The dissociation constant of the barnase-barstar complex is 10(-14) M with an association rate constant between barnase and barstar of 3.7 x 10(8) s-1 M-1. The rapid association arises in part from the clustering of four acidic residues (Asp35, Asp39, Glu76 and Glu80) on the barnase-binding surface of barstar. The negatively charged barnase-binding surface of barstar effectively 'steers' the inhibitor towards the positively charged active site of barnase. RESULTS: Mutating any one of the four acidic side chains of barstar to an alanine results in an approximately two-fold decrease in the association rate constant, while the dissociation rate constant increases from five orders of magnitude for Asp39-->Ala, to no significant change for Glu80-->Ala. The stability of barstar is increased by all four mutations, the increase ranging from 0.3 kcal mol-1 for Asp35-->Ala or Asp39-->Ala, to 2.1 kcal mol-1 for Glu80-->Ala. CONCLUSIONS: The evolutionary pressure on barstar for rapid binding of barnase is so strong that glutamate is preferred over alanine at position 80, even though it does not directly interact with barnase in the complex and significantly destabilizes the inhibitor structure. This, and other examples from the literature, suggest that proteins evolve primarily to optimize their function in vivo, with relatively little evolutionary pressure to increase stability above a certain threshold, thus allowing greater latitude in the evolution of enzyme activity.
The NADP-dependent beta-keto acyl carrier protein reductase (BKR) from E. coli has been crystallized by the hanging-drop method of vapour diffusion using poly(ethylene glycol) of average molecular weight 1450. The crystals belong to the hexagonal space group P6122 or P6522 with unit-cell dimensions a = b = 67.8, c = 355.8 A. Calculated values for Vm and consideration of the packing suggest that the asymmetric unit contains a dimer. BKR catalyses the first reductive step in the elongation cycle of fatty-acid biosynthesis. It shares extensive sequence homology with the enzyme which catalyzes the second reductive step in the cycle, enoyl acyl carrier protein reductase (ENR), and thus provides an opportunity to study the evolution of enzyme function in a metabolic pathway. The structure determination will permit the analysis of the molecular basis of its catalytic mechanism and substrate specificity.
The change of the role of metals in the evolution of enzymes was going on from the formation by them first of labile compounds during activation by ions of various reactions to the formation of more stable complexes in active centres. During the transition from anaerobiosis to aerobiosis in oxidoreductases with the participation of metals an increase of the oxidationreduction potential values (E'O) occurred. A simultaneous accomplishment of reactions in the cells at strongly differing values of the potential became possible owing to the formation of complexes with lipids by metalloenzymes being active at high E'O. Entering the membranes of subcellular structures these metalloenzymes form complex compounds with various groups of lipids-phospholipids neutral lipids, glycolipids. These are compounds with Fe, Ti, Cu, Mn and other polyvalent metals; they regulate the transfer of electrons and its changes in the evolution of the main fermentative processes of living cells, as for example respiration and assimilation of carbon dioxide.
The protein sequence and structure databases are now sufficiently representative that strategies nature uses to evolve new catalytic functions can be identified. Groups of divergently related enzymes whose members catalyze different reactions but share a common partial reaction, intermediate, or transition state (mechanistically diverse superfamilies) have been discovered, including the enolase, amidohydrolase, thiyl radical, crotonase, vicinal-oxygen-chelate, and Fe-dependent oxidase superfamilies. Other groups of divergently related enzymes whose members catalyze different overall reactions that do not share a common mechanistic strategy (functionally distinct suprafamilies) have also been identified: (a) functionally distinct suprafamilies whose members catalyze successive transformations in the tryptophan and histidine biosynthetic pathways and (b) functionally distinct suprafamilies whose members catalyze different reactions in different metabolic pathways. An understanding of the structural bases for the catalytic diversity observed in super- and suprafamilies may provide the basis for discovering the functions of proteins and enzymes in new genomes as well as provide guidance for in vitro evolution/engineering of new enzymes.
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Aminoacyl-tRNA synthetases establish the rules of the genetic code by joining amino acids to tRNAs that bear the anticodon triplets corresponding to the attached amino acids. The enzymes are thought to be among the earliest proteins to appear, in the transition from a putative RNA world to the theater of proteins. Over their long evolution, the enzymes have acquired additional functions that typically require specialized insertions or domain fusions. Recently, fragments of the closely related human tyrosyl- and tryptophanyl-tRNA synthetases were discovered to be active in angiogenesis signaling pathways. One synthetase fragment has proangiogenic activity, while the other is antiangiogenic. Activity was demonstrated in cell-based assays in vitro and in vivo in the chick embryo, and in the neonatal and adult mouse. The full-length, native enzymes are inactive in these same assays. Activation of angiogenesis activity requires fragment production from the native enzymes by protease cleavage or by translation of alternatively spliced pre-mRNA. Thus, these tRNA synthetases link translation to a major cell-signaling pathway in mammalian cells. The results with animals suggest that therapeutic applications are possible with these tRNA synthetases.
Ketopantoate hydroxymethyltransferase (KPHMT) catalyzes the first committed step in the biosynthesis of pantothenate, which is a precursor to coenzyme A and is required for penicillin biosynthesis. The crystal structure of KPHMT from Mycobacterium tuberculosis was determined by the single anomalous substitution (SAS) method at 2.8 A resolution. KPHMT adopts a structure that is a variation on the (beta/alpha) barrel fold, with a metal binding site proximal to the presumed catalytic site. The protein forms a decameric complex, with subunits in opposing pentameric rings held together by a swapping of their C-terminal alpha helices. The structure reveals KPHMT's membership in a small, recently discovered group of (beta/alpha) barrel enzymes that employ domain swapping to form a variety of oligomeric assemblies. The apparent conservation of certain detailed structural characteristics suggests that KPHMT is distantly related by divergent evolution to enzymes in unrelated pathways, including isocitrate lyase and phosphoenolpyruvate mutase.
The structures of biochemical pathways are assumed to be determined by evolutionary optimization processes. In the framework of mathematical models, these structures should be explained by the formulation of optimization principles. In the present work, the principle of minimal total enzyme concentration at fixed steady state fluxes is applied to metabolic networks. According to this principle there exists a competition of the reactions for the available amount of enzymes such that all biological functions are maintained. In states which fulfil these optimization criteria the enzyme concentrations are distributed in a non-uniform manner among the reactions. This result has consequences for the distribution of flux control. It is shown that the flux control matrix c, the elasticity matrix epsilon, and the vector e of enzyme concentrations fulfil in optimal states the relations c(T)e = e and epsilon(T)e = 0. Starting from a well-balanced distribution of enzymes the minimization of total enzyme concentration leads to a lowering of the SD of the flux control coefficients.