Calculation of the pKa values for the ligands and side chains of Escherichia coli D-alanine:D-alanine ligase

Theoretical study of the substituent effect on the hydrogen atom transfer mechanism of the irigenin derivatives antioxidant action

In this paper, 21 substituents with various electron donating and electron withdrawing characters were placed in available positions of irigenin in order to study their effect on the O – H bond dissociation enthalpy (BDE) via DFT/B3LYP method. Results indicated the substituents in X3 and X4 positions have exerted stronger influence upon BDE values of irigenin derivatives when compared with same substituents in X1 and X2 positions. The results show that intramolecular hydrogen bond effects are able to considerably stabilize the parents and radicals. The natural bond orbital (NBO) analysis results also confirmed the intramolecular hydrogen bond stabilization. The formation of strong intramolecular hydrogen bonds in several radicals results in low BDEs. The 3- OH BDE values for substituents in X2 position have linear dependencies with Hammett constants (Fig. 2 and Eq. (2)). Found dependencies are suitably linear, that can be important for the synthesis of novel antioxidants based on irigenin.

Reinterpreting the mechanism of inhibition of Mycobacterium tuberculosis D-alanine:D-alanine ligase by D-cycloserine

d-Cycloserine is a second-line drug approved for use in the treatment of patients infected with Mycobacterium tuberculosis, the etiologic agent of tuberculosis. The unique mechanism of action of d-cycloserine, compared with those of other clinically employed antimycobacterial agents, represents an untapped and exploitable resource for future rational drug design programs. Here, we show that d-cycloserine is a slow-onset inhibitor of MtDdl and that this behavior is specific to the M. tuberculosis enzyme orthologue. Furthermore, evidence is presented that indicates d-cycloserine binds exclusively to the C-terminal d-alanine binding site, even in the absence of bound d-alanine at the N-terminal binding site. Together, these results led us to propose a new model of d-alanine:d-alanine ligase inhibition by d-cycloserine and suggest new opportunities for rational drug design against an essential, clinically validated mycobacterial target.

Kinetic mechanism and inhibition of Mycobacterium tuberculosis D-alanine:D-alanine ligase by the antibiotic D-cycloserine

D-cycloserine (DCS) is an antibiotic that is currently used in second-line treatment of tuberculosis. DCS is a structural analogue of D-alanine, and targets two enzymes involved in the cytosolic stages of peptidoglycan synthesis: alanine racemase (Alr) and D-alanine:D-alanine ligase (Ddl). The mechanisms of inhibition of DCS have been well-assessed using Alr and Ddl enzymes from various bacterial species, but little is known regarding the interactions of DCS with the mycobacterial orthologues of these enzymes. We have over-expressed and purified recombinant Mycobacterium tuberculosis Ddl (MtDdl; Rv2981c), and report a kinetic examination of the enzyme with both its native substrate and DCS. MtDdl is activated by K(+), follows an ordered ter ter mechanism and displays distinct affinities for D-Ala at each D-Ala binding site (K(m,D-Ala1) = 0.075 mm, K(m,D-Ala2) = 3.6 mm). ATP is the first substrate to bind and is necessary for subsequent binding of D-alanine or DCS. The pH dependence of MtDdl kinetic parameters indicate that general base chemistry is involved in the catalytic step. DCS was found to competitively inhibit D-Ala binding at both MtDdl D-Ala sites with equal affinity (K(i,DCS1) = 14 μm, K(i,DCS2) = 25 μm); however, each enzyme active site can only accommodate a single DCS molecule at a given time. The pH dependence of K(i,DCS2) revealed a loss of DCS binding affinity at high pH (pK(a) = 7.5), suggesting that DCS binds optimally in the zwitterionic form. The results of this study may assist in the design and development of novel Ddl-specific inhibitors for use as anti-mycobacterial agents.

Structural and enzymatic characterization of BacD, an L-amino acid dipeptide ligase from Bacillus subtilis

BacD is an ATP-dependent dipeptide ligase responsible for the biosynthesis of L-alanyl-L-anticapsin, a precursor of an antibiotic produced by Bacillus spp. In contrast to the well-studied and phylogenetically related D-alanine: D-alanine ligase (Ddl), BacD synthesizes dipeptides using L-amino acids as substrates and has a low substrate specificity in vitro. The enzyme is of great interest because of its potential application in industrial protein engineering for the environmentally friendly biological production of useful peptide compounds, such as physiologically active peptides, artificial sweeteners and antibiotics, but the determinants of its substrate specificity and its catalytic mechanism have not yet been established due to a lack of structural information. In this study, we report the crystal structure of BacD in complex with ADP and an intermediate analog, phosphorylated phosphinate L-alanyl-L-phenylalanine, refined to 2.5-Å resolution. The complex structure reveals that ADP and two magnesium ions bind in a manner similar to that of Ddl. However, the dipeptide orientation is reversed, and, concomitantly, the entrance to the amino acid binding cavity differs in position. Enzymatic characterization of two mutants, Y265F and S185A, demonstrates that these conserved residues are not catalytic residues at least in the reaction where L-phenylalanine is used as a substrate. On the basis of the biochemical and the structural data, we propose a reaction scheme and a catalytic mechanism for BacD.

ACTIVE SITE PREDICTION FOR COMPARATIVE MODEL STRUCTURES WITH THEMATICS

THEMATICS (Theoretical Microscopic Titration Curves) is a simple, reliable computational predictor of the active sites of enzymes from structure. Our method, based on well-established Finite Difference Poisson–Boltzmann techniques, identifies the ionisable residues with anomalous predicted titration behavior. A cluster of two or more such perturbed residues is a very reliable predictor of the active site. The protein does not have to bear any resemblance in sequence or structure to any previously characterized protein, but the method does require the three-dimensional structure. We now present evidence that THEMATICS can also locate the active site in structures built by comparative modeling from similar structures. Results are given for a total of 21 sets of proteins, including 21 templates and 83 comparative model structures. Detailed results are presented for three sets of orthologous proteins (Triosephosphate isomerase, 6-Hydroxymethyl-7,8-dihydropterin pyrophosphokinase, and Aspartate aminotransferase) and for one set of human homologues of Aldose reductase with different functions. THEMATICS correctly locates the active site in the model structures. This suggests that the method can be applicable to a much larger set of proteins for which an experimentally determined structure is unavailable. With a few exceptions, the predicted active sites in the comparative model structures are similar to that of the corresponding template structure.

A computational study of a recreated G protein-GEF reaction intermediate competent for nucleotide exchange: fate of the Mg ion

Small G-proteins of the superfamily Ras function as molecular switches, interacting with different cellular partners according to their activation state. G-protein activation involves the dissociation of bound GDP and its replacement by GTP, in an exchange reaction that is accelerated and regulated in the cell by guanine-nucleotide exchange factors (GEFs). Large conformational changes accompany the exchange reaction, and our understanding of the mechanism is correspondingly incomplete. However, much knowledge has been derived from structural studies of blocked or inactive mutant GEFs, which presumably closely represent intermediates in the exchange reaction and yet which are by design incompetent for carrying out the nucleotide exchange reaction. In this study we have used comparative modelling to recreate an exchange-competent form of a late, pre-GDP-ejection intermediate species in Arf1, a well-characterized small G-protein. We extensively characterized three distinct models of this intermediate using molecular dynamics simulations, allowing us to address ambiguities related to the mutant structural studies. We observed in particular the unfavorable nature of Mg associated forms of the complex and the establishment of closer Arf1-GEF contacts in its absence. The results of this study shed light on GEF-mediated activation of this small G protein and on predicting the fate of the Mg ion at a critical point in the exchange reaction. The structural models themselves furnish additional targets for interfacial inhibitor design, a promising direction for exploring potentially druggable targets with high biological specificity.

Role of Arg301 in substrate orientation and catalysis in subsite 2 of D-alanine:D-alanine (D-lactate) ligase from Leuconostoc mesenteroides: a molecular docking study

D-alanine:D-alanine (D-lactate) ligase (ADP) from Leuconostoc mesenteroides synthesizes the depsipeptide, D-alanyl-D-lactate, in addition to D-alanyl-D-alanine, when D-alanine and D-lactate are incubated simultaneously. The depsipeptide is responsible for the intrinsic resistance of this organism to vancomycin. The orientations of D-lactate and D-alanine in subsite 2 of the ligase that result in both nucleophile generation and subsequent attack on the electrophilic center of D-alanyl phosphate in subsite 1 are not known. A molecular docking study using AutoDock 4 suggests a role for Arg301 in determining these orientations of acceptor substrate in subsite 2 for both nucleophile generation and subsequent attack on the phosphate intermediate. With D-lactate a bifurcated H-bond from Arg301 to the R-OH of D-lactate may account for its orientation and nucleophile activation. This orientation is observed when the guanidino side chain of this residue is flexible. D-alanine adopts an orientation that utilizes H-bonding to water 2882 and the D-alanyl phosphate in subsite 1. Both of these orientations provide mechanisms of deprotonation and place the nucleophile within 3.2A of the electrophilic carbonyl of the D-alanyl phosphate intermediate for formation of the transition state. These results suggest that Arg301 has a dual function in a sequential reaction mechanism, i.e. substrate orientation in subsite 2 as well as stabilization of the transition state. In addition, these docking studies provide insights for inhibitor design targeted to this subsite of the ligase.

Identifying functional sites based on prediction of charged group behavior

This protocol describes the implementation and interpretation of THEMATICS, a simple computational predictor of functional information for proteins from the three-dimensional structure. This method is based on the computation of the electrical potential function for the protein and the calculation of the predicted titration curves for each of the titratable groups in the protein. While most of the titratable residues in a protein have predicted titration behavior that fits the Henderson-Hasselbalch equation, the ionizable residues in the active site generally deviate dramatically from the typical behavior. From the calculated titration curves, one identifies those residues that deviate significantly from Henderson-Hasselbalch behavior. A cluster of two or more of such deviant titratable residues in physical proximity is a reliable predictor of active-site location.

Selective prediction of interaction sites in protein structures with THEMATICS

BACKGROUND

Methods are now available for the prediction of interaction sites in protein 3D structures. While many of these methods report high success rates for site prediction, often these predictions are not very selective and have low precision. Precision in site prediction is addressed using Theoretical Microscopic Titration Curves (THEMATICS), a simple computational method for the identification of active sites in enzymes. Recall and precision are measured and compared with other methods for the prediction of catalytic sites.

RESULTS

Using a test set of 169 enzymes from the original Catalytic Residue Dataset (CatRes) it is shown that THEMATICS can deliver precise, localised site predictions. Furthermore, adjustment of the cut-off criteria can improve the recall rates for catalytic residues with only a small sacrifice in precision. Recall rates for CatRes/CSA annotated catalytic residues are 41.1%, 50.4%, and 54.2% for Z score cut-off values of 1.00, 0.99, and 0.98, respectively. The corresponding precision rates are 19.4%, 17.9%, and 16.4%. The success rate for catalytic sites is higher, with correct or partially correct predictions for 77.5%, 85.8%, and 88.2% of the enzymes in the test set, corresponding to the same respective Z score cut-offs, if only the CatRes annotations are used as the reference set. Incorporation of additional literature annotations into the reference set gives total success rates of 89.9%, 92.9%, and 94.1%, again for corresponding cut-off values of 1.00, 0.99, and 0.98. False positive rates for a 75-protein test set are 1.95%, 2.60%, and 3.12% for Z score cut-offs of 1.00, 0.99, and 0.98, respectively.

CONCLUSION

With a preferred cut-off value of 0.99, THEMATICS achieves a high success rate of interaction site prediction, about 86% correct or partially correct using CatRes/CSA annotations only and about 93% with an expanded reference set. Success rates for catalytic residue prediction are similar to those of other structure-based methods, but with substantially better precision and lower false positive rates. THEMATICS performs well across the spectrum of E.C. classes. The method requires only the structure of the query protein as input. THEMATICS predictions may be obtained via the web from structures in PDB format at: http://pfweb.chem.neu.edu/thematics/submit.html.

Protonation changes upon ligand binding to trypsin and thrombin: structural interpretation based on pK(a) calculations and ITC experiments

The protonation states of a protein and a ligand can be altered upon complex formation. Such changes can be detected experimentally by isothermal titration calorimetry (ITC). For a series of ligands binding to the serine proteases trypsin and thrombin, we previously performed an extensive ITC and crystallographic study and were able to identify protonation changes for four complexes. However, since ITC measures only the overall proton exchange, it does not provide structural insights into the functional groups involved in the proton transfer. Using Poisson-Boltzmann calculations based on our recently developed PEOE_PB charges, we compute pK(a) values for all complexes of our former study in order to reveal the residues with altered protonation states. The results indicate that His57, a member of the catalytic triad, is responsible for the most relevant pK(a) shifts leading to the experimentally detected protonation changes. This finding is in contrast to our previous assumption that the observed protonation changes occur at the carboxylic group of the ligands. The newly detected proton acceptor is used for a revised factorization of the ITC data, which is necessary whenever the protonation inventory changes upon complexation. The pK(a) values of complexes showing no protonation change in the ITC experiment are reliably predicted in most cases, whereas predictions of strongly coupled systems remain problematic.

The role of aspartic acid 143 in E. coli tRNA-guanine transglycosylase: insights from mutagenesis studies and computational modeling

tRNA guanine transglycosylase (TGT) is a tRNA-modifying enzyme which catalyzes the posttranscriptional exchange of guanine in position 34 of tRNA(Y,H,N,D) with the modified base queuine in eukaryotes or its precursor, preQ(1) base, in eubacteria. Thus, TGT must recognize the guanine in tRNA and the free base queuine or preQ(1) to catalyze this exchange. The crystal structure of Zymomonas mobilis TGT with preQ(1) bound suggests that a key aspartate is critically involved in substrate recognition. To explore this, a series of site-directed mutants of D143 in Escherichia coli TGT were made and characterized to investigate heterocyclic substrate recognition. Our data confirm that D143 has significant impact on K(M) of guanine; however, the trend in the K(M) data (D143A < D143N < D143S < D143T) is unexpected. Computational studies were used to further elucidate the interactions between guanine and the D143 mutants. A homology model of E. coli TGT was created, and the role of D143 was investigated by molecular dynamic simulations of guanine bound to the wild-type and D143-mutant TGTs. To validate the model systems against our kinetic data, free energies of binding were fit using the linear interaction energy (LIE) method. This is a unique application of the LIE method because the same ligand is bound to several mutant proteins rather than one protein binding several ligands. The atomic detail gained from the simulations provided a better understanding of the binding affinities of guanine with the mutant TGTs, revealing that water molecules enter the active site and hydrogen bond to the ligand and compensate for lost protein-ligand interactions. The trend of binding affinity for wild-type > D143A > D143N > D143S > D143T appears to be directly related to the degree of hydrogen bonding available to guanine in the binding site.

Statistical criteria for the identification of protein active sites using theoretical microscopic titration curves

Theoretical Microscopic Titration Curves (THEMATICS) may be used to identify chemically important residues in active sites of enzymes by characteristic deviations from the normal, sigmoidal Henderson-Hasselbalch titration behavior. Clusters of such deviant residues in physical proximity constitute reliable predictors of the location of the active site. Originally the residues with deviant predicted behavior were identified by human observation of the computed titration curves. However, it is preferable to select the unusual residues by mathematically well-defined criteria, in order to reduce the chance of error, eliminate any possible biases, and substantially speed up the selection process. Here we present some simple statistical tests that constitute such selection criteria. The first derivatives of the predicted titration curves resemble distribution functions and are normalized. The moments of these first derivative functions are computed. It is shown that the third and fourth moments, measures of asymmetry and kurtosis, respectively, are good measures of the deviations from normal behavior. Results are presented for 44 different enzymes. Detailed results are given for 4 enzymes with 4 different types of chemistry: arginine kinase from Limulus polyphemus (horseshoe crab); beta-lactamase from Escherichia coli; glutamate racemase from Aquifex pyrophilus; and 3-isopropylmalate dehydrogenase from Thiobacillus ferrooxidans. The relationship between the statistical measures of nonsigmoidal behavior in the predicted titration curves and the catalytic activity of the residue is discussed.

Synthesis of all nineteen appropriately protected chiral alpha-hydroxy acid equivalents of the alpha-amino acids for Boc solid-phase depsi-peptide synthesis

[reaction: see text] The preparation of depsi-peptides, amide-to-ester-substituted peptides used to probe the role of hydrogen bonding in protein folding energetics, is accomplished by replacing specific l-alpha-amino acid residues by their alpha-hydroxy acid counterparts in a solid-phase synthesis employing a t-Boc strategy. Herein we describe the efficient stereoselective synthesis of all 19 appropriately protected alpha-hydroxy acid equivalents of the l-alpha-amino acids, employing commercially available materials, expanding the number of available alpha-hydroxy acids from 9 to 19.

Future directions in protein function prediction

New directions in computational methods for the prediction of protein function are discussed. THEMATICS, a method for the location and characterization of the active sites of enzymes, is featured. THEMATICS, for Theoretical Microscopic Titration Curves, is based on well-established finite-difference Poisson-Boltzmann methods for computing the electric field function of a protein. THEMATICS requires only the structure of the subject protein and thus may be applied to proteins that bear no similarity in structure or sequence to any previously characterized protein. The unique features of catalytic sites in proteins are discussed. Discussion of the chemical basis for the predictive powers of THEMATICS is featured in this paper. Some results are given for three illustrative examples: HIV-1 protease, human apurinic/apyrimidinic endonuclease, and human adenosine kinase.

Glycopeptide antibiotic resistance

Glycopeptide antibiotics are integral components of the current antibiotic arsenal that is under strong pressures as a result of the emergence of a variety of resistance mechanisms over the past 15 years. Resistance has manifested itself largely through the expression of genes that encode proteins that reprogram cell wall biosynthesis and thus evade the action of the antibiotic in the enterococci, though recently new mechanisms have appeared that afford resistance and tolerance in the more virulent staphylococci and streptococci. Overcoming glycopeptide resistance will require innovative approaches to generate new antibiotics or otherwise to inhibit the action of resistance elements in various bacteria. The chemical complexity of the glycopeptides, the challenges of discovering and successfully exploiting new targets, and the growing number of distinct resistance types all increase the difficulty of the current problem we face as a result of the emergence of glycopeptide resistance.

THEMATICS: a simple computational predictor of enzyme function from structure

We show that theoretical microscopic titration curves (THEMATICS) can be used to identify active-site residues in proteins of known structure. Results are featured for three enzymes: triosephosphate isomerase (TIM), aldose reductase (AR), and phosphomannose isomerase (PMI). We note that TIM and AR have similar structures but catalyze different kinds of reactions, whereas TIM and PMI have different structures but catalyze similar reactions. Analysis of the theoretical microscopic titration curves for all of the ionizable residues of these proteins shows that a small fraction (3-7%) of the curves possess a flat region where the residue is partially protonated over a wide pH range. The preponderance of residues with such perturbed curves occur in the active site. Additional results are given in summary form to show the success of the method for proteins with a variety of different chemistries and structures.

Comparison of quantum chemical parameters and Hammett constants in correlating pK(a) values of substituted anilines

Historically, Hammett constants have been extremely effective in describing the influence of substituents on chemical reactivity and other physical and chemical properties, whereas variables derived from quantum chemical calculations have generally been less effective. Taking the experimental pK(a)s of substituted anilines as a representative physicochemical property, five ab initio quantum chemical indices are compared for effectiveness as one-parameter regression descriptors for pK(a). All of the tested descriptors performed well for a set of 19 mono-, 13 di-, and 4 trisubstituted anilines, and two performed somewhat better than the traditional Hammett sigma constants. Among the calculated quantities, the best representation of the aniline pK(a)s is produced by the minimum average local ionization energy on the molecular surface.

Sequencing of the ddl gene and modeling of the mutated D-alanine:D-alanine ligase in glycopeptide-dependent strains of Enterococcus faecium

Glycopeptide dependence for growth in enterococci results from mutations in the ddl gene that inactivate the host D-Ala:D-Ala ligase. The strains require glycopeptides as inducers for synthesis of resistance proteins, which allows for the production of peptidoglycan precursors ending in D-Ala-D-Lac instead of D-Ala-D-Ala. The sequences of the ddl gene from nine glycopeptide-dependent Enterococcus faecium clinical isolates were determined. Each one had a mutation consisting either in a 5-bp insertion at position 41 leading to an early stop codon, an in-frame 6-bp deletion causing the loss of two residues (KDVA243-246 to KA), or single base-pair changes resulting in an amino acid substitution (E13 --> G, G99 --> R, V241 --> D, D295 --> G, P313 --> L). The potential consequences of the deletion and point mutations on the 3-D structure of the enzyme were evaluated by comparative molecular modeling of the E. faecium enzyme, using the X-ray structure of the homologous Escherichia coli D-Ala:D-Ala ligase DdlB as a template. All mutated residues were found either to interact directly with one of the substrates of the enzymatic reaction (E13 and D295) or to stabilize the position of critical residues in the active site. Maintenance of the 3-D structure in the vicinity of these mutations in the active site appears critical for D-Ala:D-Ala ligase activity.

Enzymes of vancomycin resistance: the structure of D-alanine-D-lactate ligase of naturally resistant Leuconostoc mesenteroides

BACKGROUND

The bacterial cell wall and the enzymes that synthesize it are targets of glycopeptide antibiotics (vancomycins and teicoplanins) and beta-lactams (penicillins and cephalosporins). Biosynthesis of cell wall peptidoglycan requires a crosslinking of peptidyl moieties on adjacent glycan strands. The D-alanine-D-alanine transpeptidase, which catalyzes this crosslinking, is the target of beta-lactam antibiotics. Glycopeptides, in contrast, do not inhibit an enzyme, but bind directly to D-alanine-D-alanine and prevent subsequent crosslinking by the transpeptidase. Clinical resistance to vancomycin in enterococcal pathogens has been traced to altered ligases producing D-alanine-D-lactate rather than D-alanine-D-alanine.

RESULTS

The structure of a D-alanine-D-lactate ligase has been determined by multiple anomalous dispersion (MAD) phasing to 2.4 A resolution. Co-crystallization of the Leuconostoc mesenteroides LmDdl2 ligase with ATP and a di-D-methylphosphinate produced ADP and a phosphinophosphate analog of the reaction intermediate of cell wall peptidoglycan biosynthesis. Comparison of this D-alanine-D-lactate ligase with the known structure of DdlB D-alanine-D-alanine ligase, a wild-type enzyme that does not provide vancomycin resistance, reveals alterations in the size and hydrophobicity of the site for D-lactate binding (subsite 2). A decrease was noted in the ability of the ligase to hydrogen bond a substrate molecule entering subsite 2.

CONCLUSIONS

Structural differences at subsite 2 of the D-alanine-D-lactate ligase help explain a substrate specificity shift (D-alanine to D-lactate) leading to remodeled cell wall peptidoglycan and vancomycin resistance in Gram-positive pathogens.

Vancomycin resistance in enterococci: reprogramming of the D-ala-D-Ala ligases in bacterial peptidoglycan biosynthesis

Vancomycin binds to bacterial cell-wall intermediates to achieve its antibiotic effect. Infections of vancomycin-resistant enterococci are, however, becoming an increasing problem; the bacteria are resistant because they synthesize different cell-wall intermediates. The enzymes involved in cell-wall biosynthesis, therefore, are potential targets for combating this resistance. Recent biochemical and crystallographic results are providing mechanistic and structural details about some of these targets.

Determinants for differential effects on D-Ala-D-lactate vs D-Ala-D-Ala formation by the VanA ligase from vancomycin-resistant enterococci

Bacteria with either intrinsic or inducible resistance to vancomycin make peptidoglycan (PG) precursors of lowered affinity for the antibiotic by switching the PG-D-Ala-D-Ala termini that are the antibiotic-binding target to either PG-D-Ala-D-lactate or PG-D-Ala-D-Ser as a consequence of altered specificity of the D-Ala-D-X ligases in the cell wall biosynthetic pathway. The VanA ligase of vancomycin-resistant enterococci, a D-Ala-D-lactate depsipeptide ligase, has the ability to recognize and activate the weak nucleophile D-lactate selectively over D-Ala(2) to capture the D-Ala(1)-OPO(3)(2)(-) intermediate in the ligase active site. To ensure this selectivity in catalysis, VanA largely rejects the protonated (NH(3)(+)) form of D-Ala at subsite 2 (K(M2) of 210 mM at pH 7.5) but not at subsite 1. In contrast, the deprotonated (NH(2)) form of D-Ala (K(M2) of 0.66 mM, k(cat) of 550 min(-)(1)) is a 17-fold better substrate compared to D-lactate (K(M) of 0.69 mM, k(cat) of 32 min(-)(1)). The low concentration of the free amine form of D-Ala at physiological conditions (i.e., 0.1% at pH 7.0) explains the inefficiency of VanA in dipeptide synthesis. Mutational analysis revealed a residue in the putative omega-loop region, Arg242, which is partially responsible for electrostatically repelling the protonated form of D-Ala(2). The VanA enzyme represents a subfamily of D-Ala-D-X ligases in which two key active-site residues (Lys215 and Tyr216) in the active-site omega-loop of the Escherichia coli D-Ala-D-Ala ligase are absent. To look for functional complements in VanA, we have mutated 20 residues and evaluated effects on catalytic efficiency for both D-Ala-D-Ala dipeptide and D-Ala-D-lactate depsipeptide ligation. Mutation of Asp232 caused substantial defects in both dipeptide and depsipeptide ligase activity, suggesting a role in maintaining the loop position. In contrast, the H244A mutation caused an increase in K(M2) for D-lactate but not D-Ala, indicating a differential role for His244 in the recognition of the weaker nucleophile D-lactate. Replacement of the VanA omega-loop by that of VanC2, a D-Ala-D-Ser ligase, eliminated D-Ala-D-lactate activity while improving by 3-fold the catalytic efficacy of D-Ala-D-Ala and D-Ala-D-Ser activity.