A standard numbering scheme for thiamine diphosphate-dependent decarboxylases
© Vogel et al.; licensee BioMed Central Ltd. 2012
Received: 17 August 2012
Accepted: 8 November 2012
Published: 17 November 2012
Standard numbering schemes for families of homologous proteins allow for the unambiguous identification of functionally and structurally relevant residues, to communicate results on mutations, and to systematically analyse sequence-function relationships in protein families. Standard numbering schemes have been successfully implemented for several protein families, including lactamases and antibodies, whereas a numbering scheme for the structural family of thiamine-diphosphate (ThDP) -dependent decarboxylases, a large subfamily of the class of ThDP-dependent enzymes encompassing pyruvate-, benzoylformate-, 2-oxo acid-, indolpyruvate- and phenylpyruvate decarboxylases, benzaldehyde lyase, acetohydroxyacid synthases and 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexadiene-1-carboxylate synthase (MenD) is still missing.
Despite a high structural similarity between the members of the ThDP-dependent decarboxylases, their sequences are diverse and make a pairwise sequence comparison of protein family members difficult.
We developed and validated a standard numbering scheme for the family of ThDP-dependent decarboxylases. A profile hidden Markov model (HMM) was created using a set of representative sequences from the family of ThDP-dependent decarboxylases. The pyruvate decarboxylase from S. cerevisiae (PDB: 2VK8) was chosen as a reference because it is a well characterized enzyme. The crystal structure with the PDB identifier 2VK8 encompasses the structure of the Sc PDC mutant E477Q, the cofactors ThDP and Mg2+ as well as the substrate analogue (2S)-2-hydroxypropanoic acid. The absolute numbering of this reference sequence was transferred to all members of the ThDP-dependent decarboxylase protein family. Subsequently, the numbering scheme was integrated into the already established Thiamine-diphosphate dependent Enzyme Engineering Database (TEED) and was used to systematically analyze functionally and structurally relevant positions in the superfamily of ThDP-dependent decarboxylases.
The numbering scheme serves as a tool for the reliable sequence alignment of ThDP-dependent decarboxylases and the unambiguous identification and communication of corresponding positions. Thus, it is the basis for the systematic and automated analysis of sequence-encoded properties such as structural and functional relevance of amino acid positions, because the analysis of conserved positions, the identification of correlated mutations and the determination of subfamily specific amino acid distributions depend on reliable multisequence alignments and the unambiguous identification of the alignment columns. The method is reliable and robust and can easily be adapted to further protein families.
Thiamine diphosphate (ThDP) -dependent decarboxylases are a large subfamily of the class of ThDP-dependent enzymes which are essential in many biosynthetic pathways. Due to the scientific and industrial relevance of enzymes capable of catalysing C-C bond formation and cleavage, we have focused in this work on the decarboxylase superfamily of the ThDP-dependent Enzyme Engineering Database (TEED) . This superfamily contains among others pyruvate decarboxylases (PDCs, EC 220.127.116.11), indolepyruvate decarboxylases (IPDCs, EC 18.104.22.168), phenyl pyruvate oxidases (POXs, EC 22.214.171.124), the E1 component of pyruvate dehydrogenases (PDHs, EC 126.96.36.199), oxalyl-CoA decarboxylases (OCDCs, EC 188.8.131.52), benzaldehyde lyases (BALs, EC 184.108.40.206), benzoylformate decarboxylases (BFDs, EC 220.127.116.11), acetohydroxyacid synthases (AHASs, EC 18.104.22.168), glyoxylate carboligases (GXCs, EC 22.214.171.124), sulfoacetaldehyde acetyltransferases (SAATs, EC 126.96.36.199), 2-hydroxyphytanoyl-CoA lyases (2-HPCLs) and 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexadiene-1-carboxylate synthase (SEPHCHC, MenD). Despite low sequence similarities between sequences of the decarboxylase superfamily of the TEED (~ 20%), their structures are highly similar. The structures consist of three domains, the N- and C-terminal domains are involved in binding of the cofactor ThDP and are named pyrimidine (PYR) and pyrophosphate (PP) binding domain [2, 3], respectively. They are separated by a third domain, which is less conserved and adopts different functions in the various enzyme families, e.g. by binding additional cofactors such as ADP  and FAD  or activators and inhibitors . Due to structural relations between this middle domain and the transhydrogenase domain dIII, this domain is called the TH3 domain [2, 3].
Although all ThDP-dependent decarboxylases share the same fold and a similar mechanism utilising the cofactor ThDP, they catalyse a broad range of different reactions involving cleavage and formation of C-C bonds [7–9]. While the decarboxylation of 2-ketoacids  and the carboligation of two aldehydes to 2-hydroxy ketones are catalysed by most members of the ThDP-dependent decarboxylases , their substrate ranges are different. The well characterised PDC from Saccharomyces cerevisiae, BFD from Pseudomonas putida and BAL from Pseudomonas fluorescence accept a broad variety of substrates [7, 11, 12], while SEPHCHC-synthase (MenD) is limited to a small number of substrates [13, 14]. Additional complexity of C-C bond formation results from the fact that a substrate might be either a donor, which is activated by addition to ThDP in the active site, or an acceptor, which reacts with the ThDP-bound donor, resulting in different products [7, 11, 12]. Reactions catalysed by members of the structural group of ThDP-dependent decarboxylases include decarboxylation of 2-keto acids, synthesis of various chiral 2-hydroxy ketones by asymmetric benzoin- [11, 15] and cross-benzoin condensation [16, 17], the racemic resolution of 2-hydroxy ketones via C-C bond cleavage , and Stetter-like reactions, e.g. the addition of decarboxylated 2-ketoglutyrate to isochorismate by MenD . With the exception of a few functionally relevant residues that have been identified by comparing sequences and structures of homologous proteins or by mutation experiments, the molecular basis of this biochemical diversity is still unknown. Variants have been developed by rational design and by directed evolution, in order to improve the activity of members of this enzyme family [16, 20, 21] or to alter substrate specificity [22–28] or stereoselectivity [29–31]. Some functionally relevant amino acids are located in the active site, mediating substrate binding , are involved in the activation of ThDP  or steer stereoselectivity [29–31], e.g. the S-pocket as part of the acceptor binding site, which has been shown to contribute to the stereoselectivity of several members of the decarboxylase superfamily [29–31]. However, due to this complexity, combining results yielded from different variants of different protein families, consolidating results on the function of specific residues and comparing results from different research groups is unfortunately not a straightforward process. An additional challenge in this respect is the identification of homologous positions in sequences of different proteins, in order to allow for their comparison. Amino acid exchanges in enzyme variants are usually identified by a number, signifying the absolute position of the amino acid in the respective protein in combination with the original and the newly introduced amino acid. This method only yields comparable results if the numbering is based on exactly the same sequence. In reality however, published results often are based on slightly different protein sequences, often missing residues at the N-terminus or based on sequences derived from crystal structures. This makes the comparison of results concerning individual residues of one specific protein from different research groups or the comparison of results on homologous proteins manually intensive and prevents the use of automated tools for a large number of sequences. Therefore, an unambiguous numbering scheme for all members of the decarboxylase superfamily would be desirable. The usefulness of a generally accepted numbering scheme was demonstrated for the class A and B enzyme families of β-lactamases [32, 33]. Based on structure-guided multisequence alignments of reference sequences , a number was assigned to each column of the alignment. Thus, each amino acid could be addressed unambiguously and consistently for all sequences. This numbering scheme is widely applied for the identification of key residues and for the naming of variants . The numbers assigned by this scheme might differ by more than 20 from the absolute amino acid numbering of a respective protein. Without a standard numbering scheme, the systematic comparison of mutations would have to be done manually and would be error-prone. For the same reasons, a standard numbering scheme was established for complementary determining regions (CDRs) of antibodies, thus allowing for a systematic analysis and an unambiguous communication between research groups [35, 36]. The numbering schemes were initially based on limited sets of protein sequences and were subsequently refined as more sequence and structure data became available. In order to provide a standard numbering which is independent from the increasing sequence space, a numbering scheme based on one defined reference sequence would be desirable. Due to the low sequence similarity between ThDP-dependent decarboxylases from different homologous families, it would not be reliable to transfer the absolute position numbers of the reference sequence to the residues of any decarboxylase sequence based on pairwise alignments. To handle this challenge, we chose a structure-based and profile-guided approach for the transfer of position numbers. In this work, we present the establishment of a numbering scheme for the ThDP-dependent decarboxylases based on the sequence of the well-documented pyruvate decarboxylase from S. cerevisiae (PDB: 2VK8 , Swissprot: P06169). The numbering scheme was validated by comparing its ability to produce multisequence alignments to the T-Coffee alignment algorithm and by revision of the structural equivalence of positions with the same standard numbers. Using this numbering scheme, the decarboxylase superfamily was systematically analysed for conserved amino acids.
Implementation and validation of a standard numbering scheme
The set of 16 representative proteins used for establishing a standard numbering scheme
branched-chain keto acid decarboxylase
In contrast to the PYR and the PP domain, the secondary structure elements of the TH3 domains of different decarboxylases vary considerably near their N- and C-terminus, thus leading to numerous gaps in the alignment at these positions. Therefore, the start of the TH3 domain was shifted four positions downstream and the end was shifted five positions upstream into regions, which were free of gaps, though sequence conservation was still low.
The absolute amino acid numbers and annotation information were transferred from the reference sequence to the respective positions of all members of the decarboxylase superfamily by aligning them to the profile HMM.
Identification of conserved residues and domain boundaries
After having applied a standard numbering scheme for all 3000 members of the decarboxylase superfamily, the respective protein sequences were systematically analysed for the occurrence of amino acids at corresponding positions. Four groups of positions with different characteristics of conservation were found.
The first group includes 6 positions which were conserved in more than 90% of all members of the decarboxylase superfamily, while no other amino acid occurred in more than 1% of the sequences: Position 27 (standard numbering) in the S-pocket which was glycine in 91% of all members of the decarboxylase superfamily, position 443 in the GDGX motif which was glycine in 98% of all decarboxylases, and four highly conserved positions which have not yet been identified as being of functional or structural relevance: positions 58 (alanine in 96% of the sequences), 94 (proline in 91% of the sequences), 219 (glycine in 91% of the sequences), and 286 (glycine in 97% of the sequences). Thus, 6 positions (mostly glycine residues) are highly conserved in almost all members of the decarboxylase superfamily.
The second group includes 3 positions in which one amino acid was found in a majority of more than 90% of all members of the decarboxylase superfamily and a different amino acid in a minority (> 3%) of all sequences. The most conserved position was the active site residue Glu 51. This conserved glutamic acid was found in 94% of all sequences, while 3% have a valine in this position. D444 of the GDGX motif was conserved in 91% of all cases, while 7% have a glutamic acid in this position. At position 280, aspartic and glutamic acid were found in 90% and 4%, respectively, of all members of the decarboxylase superfamily. Thus, this group includes positions which seem to be characteristic for a distinct subgroup of this superfamily.
The third group encompasses variable positions which are known to be involved in substrate recognition or catalysis. In positions 114 and 115, the majority of all members of the decarboxylase superfamily have a phenylalanine (58%) and a glutamine (81%), respectively, while a minority, predominantly PDCs, show histidine (15% and 12%, respectively) in these positions. These histidines have been referred to as the HH-motif in the PDC family . A functionally relevant, though highly variable site, is the S-pocket which contributes to the stereo selectivity of decarboxylases [29–31]. Two positions, 476 and 477, which were shown to contribute to the S-pocket or the entrance of the S-pocket, were highly variable in all members of the decarboxylase superfamily. In standard position 476 most members of the decarboxylase superfamily show a methionine (42%) or an isoleucine residue (18%), respectively, while standard position 477 is occupied by valine (45%) or isoleucine (20%), respectively.
The fourth group included the domain boundaries of the three protein domains PYR, PP and the TH3 domain. Identification of the domain boundaries can be easily accomplished when structural information is available, whereas an identification of domain boundaries based on the amino acid sequence alone is not straightforward due to the low sequence similarity in the loop regions connecting the three domains. However, alignments using the profile HMM revealed several conserved positions: the start of the PYR domain (standard numbering 6) is indicated by a conserved glycine (in 44% of all sequences), while its end (position 168) is highly conserved (proline in 87% of all cases). Similarly, the PP domain starts at position 367 (proline in 54% of all sequences) and ends at position 540 (valine in 37% of all sequences). These four positions coincided well with the start and end of the ThDP-binding fold. In contrast, the start and end positions of the TH3 domain were highly variable. Therefore, two positions further inside the TH3 domain were selected to characterise the start and the end of this domain: positions 197 (aspartic acid in 18% of all cases) and 336 (lysine in 17% of all sequences). Despite the low sequence similarity in the boundary region, the assignment of standard numbers was consistent with the results from a structural superimposition.
Furthermore, the regions around the 9 highly conserved positions of group 1 and 2 were investigated concerning sequence conservation in order to investigate the presence of sequence motifs. With the exception of position 27 (standard numbering), their surrounding regions were sufficiently conserved to allow for the derivation of sequence motifs. The region around residue G443 is already known as the G DGX24,27N-motif . In order to analyse the specificity and the precision of the remaining motifs for the decarboxylase superfamily, they were used in a motif search against the non-redundant NCBI database, while an updated version of the TEED (not yet published) served as positive control . The motif [DHN]50-E51-[AEGLQ]52-[AGNSTV]53-[AGLMV]54-[AGISTV]55-[FHLMY]56-[AFILM]57-A58, which was derived from the region around the conserved positions 51 and 58, showed similar sensitivity (0.65) and precision (0.27) as the PROSITE pattern PS00187, which is an extended version of the GDGX24,27N-motif and was described as a conserved motif of POXs (EC 188.8.131.52), PDCs (EC 184.108.40.206), AHASs (EC 220.127.116.11), BFDs and indolepyruvate decarboxylases (IPDCs, EC 18.104.22.168) [46–48] (sensitivity: 0.59, precision: 0.42). This motif is part of an α-helix, which is involved in the formation of the active site. In addition, the motif surrounding position 280 had at least similar precision and sensitivity for ThDP-dependent decarboxylases as the simple GDGX24,27N–motif  (data not shown). Thus, a second motif [DE]280-[ACFLTV]281-[ILMV]282-[FILV]283-[ACGLMNSTV]284-[AFILV]285-G286 was identified with 5 predominantly hydrophobic amino acids between two highly conserved positions D/E280 and G286, which form the vertices of the loops connecting a central β-strand of the TH3 domain to the adjacent α-helices. The remaining motifs were less specific and sensitive for the identification of ThDP-dependent decarboxylases.
Application of the numbering scheme to experimentally characterized positions
An extensive literature search yielded 22 positions which were experimentally well characterized in five different proteins (Sc PDC, Ap PDC, Zm PDC, Pf BAL and Pp BFD) and shown to be of relevance to substrate specificity and/or activity. The numbering scheme was exemplarily applied to the respective sequences in order to compare the annotation information from the literature. Several equivalent positions in different proteins were shown to have different absolute numbers (Additional file 1: Table S2). An influence on the decarboxylase activity was shown for the residues D28 of Sc PDC, D27 of Zm PDC and A28 of Pf BAL, each corresponding to standard position 28. Furthermore, structural and functional equivalence was shown for A28 in Pf BAL and S26 in Pp BFD. Similarly, positions 114 and 115, which were described as the HH-motif of pyruvate decarboxylases (Additional file 1: Table S2)  are structurally and functionally identical in different PDCs, but differ in their absolute position numbers. The mutations W388A,I in Ap PDC were shown to reduce stereoselectivity while the mutations W392A,I,M of Zm PDC led to an improved carboligation activity. However, both positions are structurally equivalent and are addressed with standard number 392. Functional relevance is also described for position 477 (standard number) in Sc PDC, Ap PDC and Zm PDC. All mutations of the respective residues (E477Q in Sc PDC, E469G in Ap PDC and E473D,Q) revealed an impact on the decarboxylation reaction [23–25, 29]. The examination of these five examples and the differences between the absolute and the standard numbers of functionally equivalent positions showed, that the presented numbering scheme for the ThDP-dependent decarboxylases eases the communication on variants and the comparison of functionally relevant positions. The assignment of standard numbers to positions of different homologous proteins furthermore simplifies the prediction of the impact of mutations at equivalent positions.
A standard numbering scheme has been established for the structural superfamily of ThDP-dependent decarboxylases, as it has been done previously for two protein families, the β-lactamase family and the complementary determining regions of antibodies [34, 35]. A standard numbering scheme for a protein family enables an unambiguous communication between research groups about corresponding positions in different proteins and supports the automated systematic analysis of sequences and the classification of proteins into sub-groups . In principle, a numbering scheme could be established by performing pairwise alignments of each sequence of the protein family to a reference sequence. However, although structurally conserved, the superfamily of ThDP-dependent decarboxylases shows only low sequence similarity. As a consequence, pairwise alignments are in general not reliable. As an alternative, multisequence alignment methods were successfully applied to align homologous proteins with low sequence similarity . By performing a multisequence alignment of all sequences of the decarboxylase superfamily, the numbering of a reference sequence could be transferred to each aligned decarboxylase sequence. However, a new alignment has to be calculated for each new sequence to be included. Calculating multisequence alignments of many thousands of sequences with low sequence similarity are not only computationally intensive, but more importantly, they lack robustness, because the alignment might change upon inclusion of additional sequences. In contrast, profile hidden Markov models (HMM) based on a structure-driven alignment are a robust description of protein families and allow the user to align new sequences to an existing multisequence alignment . By alignment of a sequence to a profile built from a set of representative proteins, the numbering can be transferred from the reference sequence to a query sequence. However, the quality of the numbering depends on the quality of the profile. Therefore, the proteins in the profile HMM were carefully selected. From each of the sixteen families with structural information, a representative protein was selected for a structure-guided alignment  to guarantee the structural equivalence in the reference profile. Because some members of the decarboxylase superfamily show activation upon binding of a substrate at a second (allosteric) binding site (e.g. Sc PDC)  which leads to conformational changes, the set of reference proteins only contained decarboxylases which show no substrate activation or which have been crystallized in complex with an allosteric activator. Thus, only structures of active enzymes were compared. The alignment was further manually refined in order to improve consistency and robustness. Since the presented numbering scheme is aimed to compare structurally equivalent positions, the method depends on structural similarity of the proteins in the corresponding family. Accordingly, the method can be adapted to other protein families matching this requirement globally or at least in structurally conserved domains.
By establishing a standard numbering scheme for the ThDP-dependent decarboxylase superfamily, the unambiguous identification, numbering, and analysis of functionally and structurally relevant residues was possible. The analysis of conserved positions in the protein family of ThDP-dependent decarboxylases revealed that the previously observed substitution of the active site glutamate by valine in members of the glyoxylate carboligase family at standard position 51 [43, 53] is indeed characteristic of the entire family, which indicates a different mechanism in glyoxylate carboligases . It could also be shown that the active site “HH-motif” which has been described for various members of the decarboxylase superfamily  is highly specific for only a small number of decarboxylases, the pyruvate decarboxylases, indolepyruvate decarboxylases, and phenylpyruvate decarboxylases, and is not present in the majority of the enzymes. The four highly conserved glycine residues at standard positions 27, 219, 286 and 443 are all located between the C-cap of a β-strand and the N-cap of an α-helix of β-α-β supersecondary structure elements, which has been shown to be a typical pattern for α-β units . These elements presumably are relevant for the correct folding of the ThDP-dependent decarboxylases.
The assignment of standard numbers to experimentally well characterized positions allows for an easy comparison of positions between different proteins and different organisms regarding their structurally equivalence. This was demonstrated by an in-depth analysis of five different members of the decarboxylase superfamily (Additional file 1: Table S2). Several positions were identified which share the same standard numbers, show similar functional influence and are structurally equivalent, but deviate in their absolute position numbers by up to 8 positions. Prediction of the functional influence of mutations in homologous sequences based on the absolute position numbers of given sequences is not straightforward, but becomes feasible using a standard numbering scheme. Thus, new sequence motifs were found by systematically analysing the amino acid distribution at each position of all members of the ThDP-dependent decarboxylase family. A new family-specific sequence motif was derived from the conserved region near the catalytic glutamic acid at position 51 (standard position) and the conserved alanine at position 58 (standard position). The respective motif was shown to be as sensitive and precise for the ThDP-dependent decarboxylases as the PROSITE pattern PS00187, but due to the defined E51, it cannot be used to identify glyoxylate carboligases, which have a valine at the respective position . In addition, despite the higher variability of the TH3 domain in comparison to the PYR and the PP domain, the sequence of a β-strand found in the TH3 domain (standard positions 280–286) consists of a conserved motif. In contrast to the previously mentioned motif, this region is not part of the active site but is presumably relevant for the structure or regulation of the protein. The adjacent loop region 286–304 was described as a part of the activation cascade of pyruvate decarboxylases, since this loop shows structural rearrangement upon binding of an activator at the effector binding site at standard position 221 .
By introducing a robust and reliable numbering scheme for the family of ThDP-dependent decarboxylases, we provided a frame of reference for this diverse protein family. Besides being a reliable tool to identify and number residues and domain boundaries for the superfamily of ThDP-dependent decarboxylases, the presented implementation of a numbering scheme is generic and can be adapted to other protein families as well. The usefulness and reliability of the presented numbering method was demonstrated for various examples.
Reference alignment and position number assignment
16 representative members of the decarboxylase superfamily were selected from the ThDP-dependent Enzyme Engineering Database  by three criteria: 1) Only proteins with known crystal structure were chosen for the reference alignment. From each of the 16 homologous families that contain structure information, one member was selected. 2) Some decarboxylases show activation upon binding of a substrate molecule to an allosteric binding site which leads to conformational changes. In these cases only structures were chosen which were crystallized in complex with a bound substrate or a substrate analogue. 3) For homologues families with more than one structure entry matching these criteria, the structure with the highest resolution was selected.
From these 16 representative proteins, a structure-guided multisequence alignment was created by STAMP . This reference alignment was manually refined to align secondary structure elements and thus to reduce the number of gaps scattered in the alignment (Additional file 4). A family specific profile hidden Markov model was derived from the reference alignment by HMMER .
The sequence of the pyruvate decarboxylase from S. cerevisiae (PDB: 2VK8 , Swissprot: P06169, EC: 22.214.171.124) was chosen as the reference sequence, because it is a widely applied and well characterized ThDP-dependent enzyme [6–8, 56]. Standard position numbers were assigned by aligning the sequence of each member of the decarboxylase superfamily against the profile HMM and by subsequently transferring the absolute position numbers of the reference sequence to the corresponding positions of the respective decarboxylase sequence.
An open access web application is provided to allow users to assign standard position number for decarboxylase sequences ( http://www.teed.uni-stuttgart.de). After submitting a query sequence, a BLAST search against a database of members of the structural group of decarboxylases from the TEED  is performed. Only query sequences with an E-value less than 10-10 are accepted to guarantee for a reliable sequence alignment. Then the query sequence is aligned to the reference alignment using the profile HMM, and the absolute position numbers of the reference sequence are transferred to the query sequence. Finally, annotation information of the TEED such as catalytic residues, domain boundaries, or activator binding sites is transferred to the respective positions of the query sequence.
We thank Michael McLeish and the members of the research group FOR 1296 for valuable discussion. This work was supported by the DFG (FOR 1296).
- Widmann M, Radloff R, Pleiss J: The Thiamine diphosphate dependent Enzyme Engineering Database: A tool for the systematic analysis of sequence and structure relations. BMC Biochem. 2010, 11: 9-10.1186/1471-2091-11-9.PubMedPubMed CentralView ArticleGoogle Scholar
- Duggleby RG: Domain relationships in thiamine diphosphate-dependent enzymes. Acc Chem Res. 2006, 39: 550-557. 10.1021/ar068022z.PubMedView ArticleGoogle Scholar
- Costelloe SJ, Ward JM, Dalby PA: Evolutionary analysis of the TPP-dependent enzyme family. J Mol Evol. 2008, 66: 36-49. 10.1007/s00239-007-9056-2.PubMedView ArticleGoogle Scholar
- Werther T, Zimmer A, Wille G, Golbik R, Weiss MS, König S: New insights into structure–function relationships of oxalyl CoA decarboxylase from Escherichia coli. FEBS J. 2010, 277: 2628-2640. 10.1111/j.1742-4658.2010.07673.x.PubMedView ArticleGoogle Scholar
- Lindqvist Y, Schneider G: Thiamin Diphosphate Dependent Enzymes - Transketolase, Pyruvate Oxidase and Pyruvate Decarboxylase. Curr Opin Biotechnol. 1993, 3: 896-901.Google Scholar
- Kutter S, Weiss MS, Wille G, Golbik R, Spinka M, König S: Covalently bound substrate at the regulatory site of yeast pyruvate decarboxylases triggers allosteric enzyme activation. J Biol Chem. 2009, 284: 12136-12144. 10.1074/jbc.M806228200.PubMedPubMed CentralView ArticleGoogle Scholar
- Pohl M, Sprenger GA, Müller M: A new perspective on thiamine catalysis. Curr Opin Biotechnol. 2004, 15: 335-342. 10.1016/j.copbio.2004.06.002.PubMedView ArticleGoogle Scholar
- Pohl M, Lingen B, Müller M: Thiamin-diphosphate-dependent enzymes: new aspects of asymmetric C-C bond formation. Chemistry. 2002, 8: 5288-5295. 10.1002/1521-3765(20021202)8:23<5288::AID-CHEM5288>3.0.CO;2-F.PubMedView ArticleGoogle Scholar
- Müller M, Gocke D, Pohl M: Thiamin diphosphate in biological chemistry: exploitation of diverse thiamin diphosphate-dependent enzymes for asymmetric chemoenzymatic synthesis. FEBS J. 2009, 276: 2894-2904. 10.1111/j.1742-4658.2009.07017.x.PubMedView ArticleGoogle Scholar
- Kluger R, Tittmann K: Thiamin diphosphate catalysis: enzymic and nonenzymic covalent intermediates. Chem Rev. 2008, 108: 1797-1833. 10.1021/cr068444m.PubMedView ArticleGoogle Scholar
- Pohl M, Dresen C, Beigi M, Müller M: Enzymatic Acyloin and Benzoin Condensations. Enzyme Catalysis in Organic Synthesis. Edited by: Drauz K, Gröger H, May O. 2012, Weinheim: Wiley-VCH, 919-945.View ArticleGoogle Scholar
- Pohl M, Gocke D, Müller M: Thiamine-Based Enzymes for Biotransformations. Handbook of Green Chemistry. Volume 3 Biocatalysis. Edited by: Anastas PT. 2008, Weinheim: Wiley-VCH, 75-114.Google Scholar
- Müller M, Kurutsch A, Richter M, Brecht V, Sprenger GA: MenD as a versatile catalyst for asymmetric synthesis. Journal of Molecular Catalysis B-Enzymatic. 2009, 61: 56-66. 10.1016/j.molcatb.2009.03.011.View ArticleGoogle Scholar
- Fang M, Macova A, Hanson KL, Kos J, Palmer DRJ: Using Substrate Analogues To Probe the Kinetic Mechanism and Active Site of Escherichia coli MenD. Biochemistry. 2011, 50: 8712-8721. 10.1021/bi201202n.PubMedView ArticleGoogle Scholar
- Demir AS, Sesenoglu O, Dünkelmann P, Müller M: Benzaldehyde lyase-catalyzed enantioselective carboligation of aromatic aldehydes with mono- and dimethoxy acetaldehyde. Org Lett. 2003, 5: 2047-2050. 10.1021/ol034415b.PubMedView ArticleGoogle Scholar
- Dünkelmann P, Kolter-Jung D, Nitsche A, Demir AS, Siegert P, Lingen B, Baumann M, Pohl M, Müller M: Development of a donor-acceptor concept for enzymatic cross-coupling reactions of aldehydes: the first asymmetric cross-benzoin condensation. J Am Chem Soc. 2002, 124: 12084-12085. 10.1021/ja0271476.PubMedView ArticleGoogle Scholar
- Dünnwald T, Müller M: Stereoselective formation of bis(alpha-hydroxy ketones) via enzymatic carboligation. J Org Chem. 2000, 65: 8608-8612. 10.1021/jo0010274.PubMedView ArticleGoogle Scholar
- Demir AS, Pohl M, Janzen E, Müller M: Enantioselective synthesis of hydroxy ketones through cleavage and formation of acyloin linkage. Enzymatic kinetic resolution via C-C bond cleavage. J Chem Soc Perkin Trans. 2001, 1: 633-635.View ArticleGoogle Scholar
- Jiang M, Cao Y, Guo Z-F, Chen M, Chen X, Guo Z: Menaquinone Biosynthesis in Escherichia coli: Identification of 2-Succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexene-1-carboxylate as a Novel Intermediate and Re-Evaluation of MenD Activity. Biochemistry. 2007, 46: 10979-10989. 10.1021/bi700810x.PubMedView ArticleGoogle Scholar
- Jordan F, Li H, Brown A: Remarkable stabilization of zwitterionic intermediates may account for a billion-fold rate acceleration by thiamin diphosphate-dependent decarboxylases. Biochemistry. 1999, 38: 6369-6373. 10.1021/bi990373g.PubMedView ArticleGoogle Scholar
- Li H, Furey W, Jordan F: Role of glutamate 91 in information transfer during substrate activation of yeast pyruvate decarboxylase. Biochemistry. 1999, 38: 9992-10003. 10.1021/bi9902438.PubMedView ArticleGoogle Scholar
- Pohl M, Siegert P, Mesch K, Bruhn H, Grötzinger J: Active site mutants of pyruvate decarboxylase from Zymomonas mobilis - A site-directed mutagenesis study of L112, I472, I476, E473 and N482. Eur J Biochem. 1998, 257: 538-546. 10.1046/j.1432-1327.1998.2570538.x.PubMedView ArticleGoogle Scholar
- Liu M, Sergienko EA, Guo F, Wang J, Tittmann K, Hübner G, Furey W, Jordan F: Catalytic acid–base groups in yeast pyruvate decarboxylase. 1. Site-directed mutagenesis and steady-state kinetic studies on the enzyme with the D28A, H114F, H115F, and E477Q substitutions. Biochemistry. 2001, 40: 7355-7368. 10.1021/bi002855u.PubMedView ArticleGoogle Scholar
- Sergienko EA, Jordan F: Catalytic acid–base groups in yeast pyruvate decarboxylase. 3. A steady-state kinetic model consistent with the behavior of both wild-type and variant enzymes at all relevant pH values. Biochemistry. 2001, 40: 7382-7403. 10.1021/bi002857e.PubMedView ArticleGoogle Scholar
- Sergienko EA, Jordan F: Catalytic acid–base groups in yeast pyruvate decarboxylase. 2. Insights into the specific roles of D28 and E477 from the rates and stereospecificity of formation of carboligase side products. Biochemistry. 2001, 40: 7369-7381. 10.1021/bi002856m.PubMedView ArticleGoogle Scholar
- Siegert P, McLeish MJ, Baumann M, Iding H, Kneen MM, Kenyon GL, Pohl M: Exchanging the substrate specificities of pyruvate decarboxylase from Zymomonas mobilis and benzoylformate decarboxylase from Pseudomonas putida. Protein Eng Des Sel. 2005, 18: 345-357. 10.1093/protein/gzi035.PubMedView ArticleGoogle Scholar
- Lingen B, Kolter-Jung D, Dünkelmann P, Feldmann R, Grötzinger J, Pohl M, Müller M: Alteration of the substrate specificity of benzoylformate decarboxylase from Pseudomonas putida by directed evolution. ChemBioChem. 2003, 4: 721-726. 10.1002/cbic.200200475.PubMedView ArticleGoogle Scholar
- Andrews FH, McLeish MJ: Substrate specificity in thiamin diphosphate-dependent decarboxylases. Bioorg Chem. 2012, 43: 26-36.PubMedView ArticleGoogle Scholar
- Rother D, Kolter G, Gerhards T: Berthold Siöberg CL, Gauchenova E, Knoll M, Pleiss J, Müller M, Schneider G, Pohl M: (S)-Selective mixed benzoin condensation by structure-based design of the pyruvate decarboxylase from Acetobacter pasteurianus. ChemCatChem. 2011, 3: 1587-1596. 10.1002/cctc.201100054.View ArticleGoogle Scholar
- Knoll M, Müller M, Pleiss J, Pohl M: Factors mediating activity, selectivity, and substrate specificity for the thiamin diphosphate-dependent enzymes benzaldehyde lyase and benzoylformate decarboxylase. ChemBioChem. 2006, 7: 1928-1934. 10.1002/cbic.200600277.PubMedView ArticleGoogle Scholar
- Gocke D, Walter L, Gauchenova E, Kolter G, Knoll M, Berthold CL, Schneider G, Pleiss J, Müller M, Pohl M: Rational protein design of ThDP-dependent enzymes-engineering stereoselectivity. ChemBioChem. 2008, 9: 406-412. 10.1002/cbic.200700598.PubMedView ArticleGoogle Scholar
- Galleni M, Lamotte-Brasseur J, Rossolini GM, Spencer J, Dideberg O, Frere JM: Standard numbering scheme for class B beta-lactamases. Antimicrob Agents Chemother. 2001, 45: 660-663. 10.1128/AAC.45.3.660-663.2001.PubMedPubMed CentralView ArticleGoogle Scholar
- Ambler RP: The structure of beta-lactamases. Philos Trans R Soc Lond B Biol Sci. 1980, 289: 321-331. 10.1098/rstb.1980.0049.PubMedView ArticleGoogle Scholar
- Garau G, Garcia-Saez I, Bebrone C, Anne C, Mercuri P, Galleni M, Frere JM, Dideberg O: Update of the standard numbering scheme for class B beta-lactamases. Antimicrob Agents Chemother. 2004, 48: 2347-2349. 10.1128/AAC.48.7.2347-2349.2004.PubMedPubMed CentralView ArticleGoogle Scholar
- Al-Lazikani B, Lesk AM, Chothia C: Standard conformations for the canonical structures of immunoglobulins. J Mol Biol. 1997, 273: 927-948. 10.1006/jmbi.1997.1354.PubMedView ArticleGoogle Scholar
- Kabat EA, Wu TT, Perry H: Sequences of Proteins of Immunological Interest. 1991, Bethesda, MD: NIH Publication, Fifth Edition ednGoogle Scholar
- Takenaka A, Juan ECM, Hoque MM, Hossain MT, Yamamoto T, Imamura S, Suzuki K, Sekiguchi T: The structures of pyruvate oxidase from Aerococcus viridans with cofactors and with a reaction intermediate reveal the flexibility of the active-site tunnel for catalysis. Acta Crystallogr Sect F Struct Biol Cryst Commun. 2007, 63: 900-907. 10.1107/S1744309107041012.PubMedPubMed CentralView ArticleGoogle Scholar
- Lobell M, Crout DHG: Pyruvate decarboxylase: A molecular modeling study of pyruvate decarboxylation and acyloin formation. J Am Chem Soc. 1996, 118: 1867-1873. 10.1021/ja951830t.View ArticleGoogle Scholar
- Jordan F: Current mechanistic understanding of thiamin diphosphatedependent enzymatic reactions. Nat Prod Rep. 2003, 20: 184-201. 10.1039/b111348h.PubMedView ArticleGoogle Scholar
- Candy JM, Koga J, Nixon PF, Duggleby RG: The role of residues glutamate-50 and phenylalanine-496 in Zymomonas mobilis pyruvate decarboxylase. Biochem J. 1996, 315: 745-751.PubMedPubMed CentralView ArticleGoogle Scholar
- Schütz A, Sandalova T, Ricagno S, Hübner G, König S, Schneider G: Crystal structure of thiamindiphosphate-dependent indolepyruvate decarboxylase from Enterobacter cloacae, an enzyme involved in the biosynthesis of the plant hormone indole-3-acetic acid. Eur J Biochem. 2003, 270: 2312-2321. 10.1046/j.1432-1033.2003.03601.x.PubMedView ArticleGoogle Scholar
- Killenberg-Jabs M, König S, Eberhardt I, Hohmann S, Hübner G: Role of Glu51 for Cofactor Binding and Catalytic Activity in Pyruvate Decarboxylase from Yeast Studied by Site-Directed Mutagenesis. Biochemistry. 1997, 36: 1900-1905. 10.1021/bi961341l.PubMedView ArticleGoogle Scholar
- Shaanan B, Chipman DM: Reaction mechanisms of thiamin diphosphate enzymes: new insights into the role of a conserved glutamate residue. FEBS J. 2009, 276: 2447-2453. 10.1111/j.1742-4658.2009.06965.x.PubMedView ArticleGoogle Scholar
- Notredame C, Higgins DG, Heringa J: T-Coffee: A novel method for fast and accurate multiple sequence alignment. J Mol Biol. 2000, 302: 205-217. 10.1006/jmbi.2000.4042.PubMedView ArticleGoogle Scholar
- Hawkins CF, Borges A, Perham RN: A common structural motif in thiamin pyrophosphate-binding enzymes. FEBS Lett. 1989, 255: 77-82. 10.1016/0014-5793(89)81064-6.PubMedView ArticleGoogle Scholar
- Green JB: Pyruvate decarboxylase is like acetolactate synthase (ILV2) and not like the pyruvate dehydrogenase E1 subunit. FEBS Lett. 1989, 246: 1-5. 10.1016/0014-5793(89)80241-8.PubMedView ArticleGoogle Scholar
- Koga J, Adachi T, Hidaka H: Molecular cloning of the gene for indolepyruvate decarboxylase from Enterobacter cloacae. Mol Gen Genet. 1991, 226: 10-16. 10.1007/BF00273581.PubMedView ArticleGoogle Scholar
- Tsou AY, Ransom SC, Gerlt JA, Buechter DD, Babbitt PC, Kenyon GL: Mandelate pathway of Pseudomonas putida: sequence relationships involving mandelate racemase, (S)-mandelate dehydrogenase, and benzoylformate decarboxylase and expression of benzoylformate decarboxylase in Escherichia coli. Biochemistry. 1990, 29: 9856-9862. 10.1021/bi00494a015.PubMedView ArticleGoogle Scholar
- Widmann M, Pleiss J, Oelschlaeger P: Systematic Analysis of Metallo-beta-Lactamases Using an Automated Database. Antimicrob Agents Chemother. 2012, 56: 3481-3491. 10.1128/AAC.00255-12.PubMedPubMed CentralView ArticleGoogle Scholar
- Thompson JD, Linard B, Lecompte O, Poch O: A comprehensive benchmark study of multiple sequence alignment methods: current challenges and future perspectives. PLoS One. 2011, 6: e18093-10.1371/journal.pone.0018093.PubMedPubMed CentralView ArticleGoogle Scholar
- Sievers F, Wilm A, Dineen D, Gibson TJ, Karplus K, Li WZ, Lopez R, McWilliam H, Remmert M, Soding J: Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol. 2011, 7: 539-PubMedPubMed CentralView ArticleGoogle Scholar
- Russell RB, Barton GJ: Multiple Protein-Sequence Alignment from Tertiary Structure Comparison - Assignment of Global and Residue Confidence Levels. Proteins. 1992, 14: 309-323. 10.1002/prot.340140216.PubMedView ArticleGoogle Scholar
- Kaplun A, Binshtein E, Vyazmensky M, Steinmetz A, Barak Z, Chipman DM, Tittmann K, Shaanan B: Glyoxylate carboligase lacks the canonical active site glutamate of thiamine-dependent enzymes. Nat Chem Biol. 2008, 4: 113-118. 10.1038/nchembio.62.PubMedView ArticleGoogle Scholar
- Edwards MS, Sternberg MJE, Thornton JM: Structural and sequence patterns in the loops of beta-alpha-beta units. Protein Eng. 1987, 1: 173-181. 10.1093/protein/1.3.173.PubMedView ArticleGoogle Scholar
- HMMER. http://hmmer.janelia.org/ ,
- Rosche B, Breuer M, Hauer B, Rogers PL: Role of pyruvate in enhancing pyruvate decarboxylase stability towards benzaldehyde. J Biotechnol. 2005, 115: 91-99. 10.1016/j.jbiotec.2004.08.002.PubMedView ArticleGoogle Scholar
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