- Research article
- Open Access
Structure to function prediction of hypothetical protein KPN_00953 (Ycbk) from Klebsiella pneumoniae MGH 78578 highlights possible role in cell wall metabolism
© Aun et al.; licensee BioMed Central Ltd. 2014
- Received: 11 July 2013
- Accepted: 1 February 2014
- Published: 5 February 2014
Klebsiella pneumoniae plays a major role in causing nosocomial infection in immunocompromised patients. Medical inflictions by the pathogen can range from respiratory and urinary tract infections, septicemia and primarily, pneumonia. As more K. pneumoniae strains are becoming highly resistant to various antibiotics, treatment of this bacterium has been rendered more difficult. This situation, as a consequence, poses a threat to public health. Hence, identification of possible novel drug targets against this opportunistic pathogen need to be undertaken. In the complete genome sequence of K. pneumoniae MGH 78578, approximately one-fourth of the genome encodes for hypothetical proteins (HPs). Due to their low homology and relatedness to other known proteins, HPs may serve as potential, new drug targets.
Sequence analysis on the HPs of K. pneumoniae MGH 78578 revealed that a particular HP termed KPN_00953 (YcbK) contains a M15_3 peptidases superfamily conserved domain. Some members of this superfamily are metalloproteases which are involved in cell wall metabolism. BLASTP similarity search on KPN_00953 (YcbK) revealed that majority of the hits were hypothetical proteins although two of the hits suggested that it may be a lipoprotein or related to twin-arginine translocation (Tat) pathway important for transport of proteins to the cell membrane and periplasmic space. As lipoproteins and other components of the cell wall are important pathogenic factors, homology modeling of KPN_00953 was attempted to predict the structure and function of this protein. Three-dimensional model of the protein showed that its secondary structure topology and active site are similar with those found among metalloproteases where two His residues, namely His169 and His209 and an Asp residue, Asp176 in KPN_00953 were found to be Zn-chelating residues. Interestingly, induced expression of the cloned KPN_00953 gene in lipoprotein-deficient E. coli JE5505 resulted in smoother cells with flattened edges. Some cells showed deposits of film-like material under scanning electron microscope.
We postulate that KPN_00953 is a Zn metalloprotease and may play a role in bacterial cell wall metabolism. Structural biology studies to understand its structure, function and mechanism of action pose the possibility of utilizing this protein as a new drug target against K. pneumoniae in the future.
- Hypothetical protein
- Homology modeling
- Peptidase M15_3 superfamily
- Cell wall metabolism
Klebsiella pneumoniae is a Gram-negative, rod-shaped bacterium that is widely distributed in soil and water  as well as the intestine, urethra and respiratory tract of mankind and other animals . This opportunistic pathogen has been regarded as one of the major causes of respiratory and urinary tract infections, septicemia and the third-most-common bacterial cause of hospital-acquired pneumonia in immunocompromised patients . Studies in Taiwan showed that this pathogen has the capacity to cause pyogenic liver abscess in human [4, 5]. Similar cases have been observed in other countries as well, indicating that such medical infliction is not only confined to Taiwan per se and may potentially emerge as a global problem . To add to this problem, K. pneumoniae strains which produce extended-spectrum beta-lactamases and are highly resistant to a spectrum of antibiotics are emerging worldwide . These strains, also known as K. pneumoniae carbapenemases (KPC)-encoding strains, are often associated with nearly complete antibiotic resistance whereby failure and mortality rates related to pneumonia caused by this pathogen can reach up to 50% even with antibiotic therapy . This makes treatments for this bacterium more difficult and has certainly created obstacles, no less danger, to public health.
Many components of the bacteria have been identified as pathogenic factors such as its capsular polysaccharide , yersiniabactin [9, 10] and enterobactin . All these pathogenic factors are well characterized in which their mechanisms of action and effects are established. Little is known, however, on the roles of poorly characterized biomolecules such as hypothetical proteins (HPs) of this pathogen. As their sequences and structures remain largely non-similar with other known proteins, HPs are often regarded as proteins of unknown functions  or orphan proteins . It is important to note that a substantial fraction (up to 30 – 40%) of any sequenced bacterial genomes consist of genes which encode HPs . This is certainly the case even in model organisms such as Escherichia coli, Bacillus subtilis or Saccharomyces cerevisiae. Efforts to gain basic understanding on the roles and possible functions of HPs are crucial to close the gap between the “knowns” and the “unknowns”. This is especially important to fit and complete the genetic information puzzle of any living organisms, as well as to gain a ‘complete’ understanding of these organisms as biological systems as a whole .
As 25% of the complete genome sequence of K. pneumoniae MGH 78578 codes for HPs , it serves as a good mining pool for these proteins to be studied structurally and functionally. This effort is important particularly in substantiating the biological role and importance of HPs in the system of a pathogen. Improved understanding of these proteins may make them potential targets of antimicrobial drugs . This present study highlights the in silico studies to characterize a HP, KPN_00953 (YcbK) from K. pneumoniae MGH 78578. The results revealed that KPN_00953 is a Zn-metalloprotease possibly related to the functions of the cell wall whereby its induced expression has interestingly changed the surface morphology of a lipoprotein-deficient E. coli JE5505 strain.
Top 20 hits in BLAST search against NR database for KPN_00953
Hypothetical protein HMPREF0485_02438
Klebsiella sp. 1_1_55
Hypothetical protein KP1_1926
Klebsiella pneumoniae NTUH-K2044
Tat pathway signal sequence domain protein
Klebsiella pneumoniae subsp. rhinoscleromatis ATCC 13884
Tat (twin-arginine translocation) pathway signal sequence domain/peptidase M15 family protein
Klebsiella pneumoniae 342
Protein of unknown function DUF882
Enterobacter cloacae SCF1
Hypothetical protein c1068
Escherichia coli CFT073
Hypothetical protein ENTCAN_05496
Enterobacter cancerogenus ATCC 35316
Hypothetical protein ECL_02727
Enterobacter cloacae subsp. cloacae ATCC 13047
Uncharacterized protein conserved in bacteria
Enterobacter cloacae subsp. cloacae NCTC 9394
Hypothetical protein EFER_1070
Escherichia fergusonii ATCC 35469]
Hypothetical protein ECs1009
Escherichia coli O157:H7 str. Sakai
Tat (twin-arginine translocation) pathway signal sequence domain/peptidase M15 family protein
Shigella dysenteriae 1012
Hypothetical protein ESA_02416
Cronobacter sakazakii ATCC BAA-894
Hypothetical protein Ent638_1445
Enterobacter sp. 638]
Putative outer membrane protein
Salmonella enterica subsp. enterica serovar Typhimurium str. LT2
Tat pathway signal sequence protein
Escherichia coli MS 107-1
Hypothetical protein STY0998
Salmonella enterica subsp. enterica serovar Typhi str. CT18
Putative exported protein, Tat-dependent
Salmonella enterica subsp. enterica serovar Saintpaul str. SARA29
Hypothetical protein SPAB_02517
Salmonella enterica subsp. enterica serovar Paratyphi B str. SPB7
Conserved hypothetical protein
Citrobacter sp. 30_2
Conserved domains search on KPN_00953 using Uniprot  revealed that it contains a conserved domain found in the superfamily of M15_3 peptidases. Using this information, a similarity search was performed on KPN_00953 against all peptidases in the MEROPS Peptidase Database . BLAST MEROPS results indicated that KPN_00953 shares similarity with many sub family M15A unassigned peptidases. This family of peptidase consists of metallopeptidases mostly specialized carboxypeptidases and dipeptidases such as Zn D-Alanyl-D-Alanine (D-Ala-D-Ala) carboxypeptidases. The biological functions of D-Ala-D-Ala carboxypeptidases are related to bacterial cell wall biosynthesis and metabolism [19–21].
To predict the possible function of KPN_00953, recently reported protein prediction methods comprising of FFPred , GOStruct , Argot2 , CombFunc  and PANNZER  were used. Out of this five prediction methods, GOStruct and PANNZER services were not available at the moment when the analyses were performed. Results obtained from FFPred indicated that KPN_00953 might be responsible for oxidation-reduction process with 0.952 probability. Since FFPred system is dedicated to assign gene ontology terms for eukaryotic protein sequences , the results obtained from the analysis of KPN_00953 using FFPred might not be accurate for a prokaryotic system. Analysis using CombFunc and Argot2 failed to predict any significant function for KPN_00953 although both highlighted that the protein consisted the Peptidase M_15 domain as well as a leucine rich domain. KEGG Orthology (KO) group analysis on KPN_00953 only annotated it as a hypothetical protein, unrelated to any KO group. Therefore, KPN_00953 could not be associated with any pathways based on the KO analysis.
Results extracted from Phyre2 analysis from CombFunc server
Confidence level (5)
Homology modelling of KPN_00953 and model validation
Statistical result of Ramachandran plot analysis for the best model in homology modeling
Ramachandran plot (%)
Built KPN_00953 model ( K. pneumoniae) (%)
Most favoured regions
Additional allowed regions
Structural and motif analyses
Certain peptidases, particularly those of peptidoglycan hydrolases such as D-Ala-D-Ala metallopeptidases are believed to contain a Zn2+ ligand in most of the structures where the metal ion is coordinated by two histidines, an aspartate and a water molecule [36, 37, 39]. The presence of these active site residues is clearly observed in our built model, where His169, His209 and Asp176 are located exactly at Zn2+-chelating positions (Figure 3). Interestingly, these residues are also found to be highly conserved in certain hypothetical proteins from other organisms as well (Figure 1). It has been reported that other than these active site residues, there is another second conserved His residue two residues upstream of the His Zn2+ ligand . This particular His residue, His166, was observed in the sequence of KPN_00953 where it is located two residues upstream of His169 (the Zn2+ ligand) (Figure 1).
The intactness of both the secondary structure topology and the three Zn2+ ligand-binding residues of the built model suggest that KPN_00953 may function as a cell wall (peptidoglycan)-hydrolyzing enzyme, similar to a few characterized Zn D-Ala-D-Ala metallopeptidases such as muramoyl-pentapeptide carboxypeptidase from S. albus and VanX from Enterococcus faecalis. Closer inspection on the sequence of KPN_00953 in comparison to the abovementioned proteins revealed that it does not contain the characteristic H-x-H motif which is predominantly found in nearly all D-Ala-D-Ala metallopeptidases, except VanX . This motif is present in the sequence of 1LBU, the template used for the homology modeling of KPN_00953 (Figure 1). In the case of VanX, instead of the signature H-x-H motif it bears the E-x-x-H motif in its sequence . This motif was absent also in the sequence of KPN_00953. However, KPN_00953 was found to possess the H-x (3–6)-D motif similar to MepA peptidase (Figure 1). Similar to the Zn D-Ala-D-Ala metallopeptidases stated above, MepA is a Zn-metalloprotein shown to be involved in cell wall related functions . The only deviation to this similarity is the absence of the H-x-H motif in KPN_00953, which is reported to be present in MepA .
Amplification and cloning of KPN_00953
Altered cell surface morphology of E. coli JE5505 overexpressing KPN_00953
We have identified that HP KPN_00953 from K. pneumoniae MGH 78578 contains a well conserved domain belonging to the M15 superfamily of peptidases. Template identification based on this domain has led to the building of a 3D model of KPN_00953 via homology modeling using the crystal structure of muramoyl-pentapeptide carboxypeptidase (PDB id: 1LBU), a Zn D-Ala-D-Ala metallopeptidase from S. albus as the template. The built model has been verified to be acceptable and topologically conserved with other available structures related to peptidases such as the L-alanoyl-D-glutamate endopeptidase domain of Listeria bacteriophage endolysin Ply500 (PDB id: 2VO9) . Two His residues, His169 and His209, as well as an Asp residue, Asp176 of this model are postulated to be involved in Zn chelation (Figure 3) and are interestingly found to be conserved in other well characterized Zn-metalloproteases [36, 37, 39, 40]. It is important to note that several members of Zn-metalloproteases act as peptidoglycan hydrolases; in which they are involved in cell wall metabolism.
The cell wall of bacteria contains peptidoglycan which is important in preserving and maintaining the structural integrity of the cell by withstanding turgor. It is closely linked to several physiological processes such as cell growth and division. Inhibition of its biosynthesis via the action of antiobiotics for instance as well as its degradation by lysozyme will result in cell lysis . Peptidoglycan in general is made of alternating units of N-acetyl-glucosamine and N-acetyl-muramic acid that are linked via 1,4-glycosidic bonds. The muramyl residues serve as platforms for the attachment of short polypeptides which contain both L- and D-amino acids and typically have two D-Ala residues at the C terminus. These peptide components on the muramyl residues can be crosslinked by transpeptidation, which subsequently will result in a loss of the terminal D-Ala and strengthening of the bacterial cell wall [40, 43].
Members of Zn-metalloproteases which have been characterized to be involved in peptidoglycan (cell wall) biosynthesis and metabolism include Zn D-Ala-D-Ala carboxypeptidases and dipeptidases . Muramoyl-pentapeptide carboxypeptidase, which is used as a template in the homology modeling of KPN_00953, is a specific Zn D-Ala-D-Ala carboxypeptidase . It was reported that this particular enzyme from Streptomyces hydrolyzes the C-terminal peptide bond of peptides of general structure R-D-Ala-D-Xaa. The lytic and extracellular characteristics of the enzyme brought about the suggestion that this enzyme is used by Streptomyces for fighting competitors in its ecological niche since it does not hydrolyze the Streptomyces peptidoglycan . Another instance is the Zn-dependent D-Ala-D-Ala (amino) dipeptidase, VanX. This peptidase reduces the cellular pool of the D-Ala-D-Ala dipeptide so that only the D-Ala-D-lactate peptidoglycan chain precursors are produced and incorporated into the cell wall instead of the former. The modified peptidoglycan reportedly exhibited a 1,000-fold decrease in affinity for vancomycin. This feature is responsible in conferring antibiotic resistance to pathogenic bacteria such as vancomycin-resistant Enterococci (VRE) . Both of these proteins were reported to be similar and structurally related [44, 45] despite the differences in their sequences. The muramoyl-pentapeptide carboxypeptidase from S. albus, like nearly all Zn D-Ala-D-Ala metallopeptidases, contains the H-x-H motif. VanX, on the other hand, contains the E-x-x-H motif making it an exception among the D-Ala-D-Ala metallopeptidases .
In the case of KPN_00953, it does not possess both of these characteristic motifs. Instead, it contains the H-x (3–6)-D motif, similar to MepA peptidase [40, 41]. However, it is important to stress that MepA contains as well the characteristic H-x-H motif [40, 41] which KPN_00953 lacks. In terms of molecular function, MepA is reported to cleave D-alanyl-meso-2,6-diamino-pimelyl peptide bonds in E. coli peptidoglycan and is classified as a peptidase of unknown fold and catalytic class due to its low sequence similarity with other peptidases . KPN_00953 resembles MepA in this respect in which KPN_00953 is shown to be related to the subfamily M15A of unassigned peptidases from BLAST MEROPS scan. In contrast to MepA however, KPN_00953 could be assigned to a subfamily or catalytic class of peptidases, namely the M15A subfamily of peptidase. As this subfamily of peptidases consists of a number of characterized members such as Zn D-Ala-D-Ala carboxypeptidases, functional inference of KPN_00953 could be made based on this information. Although KPN_00953 contains the H-x (3–6)-D motif of MepA, conserved domain analysis result seems to relate KPN_00953 more to Zn D-Ala-D-Ala metallopeptidase in general, excluding VanX. Hence, the presence of the H-x (3–6)-D motif of MepA in KPN_00953 may occur by chance.
It is important to note that whilst both domain analysis and homology modeling of KPN_00953 revealed the conservation of important domains, Zn-chelating residues and secondary structure topologies to D-Ala-D-Ala carboxypeptidase, sequence similarity search revealed that this particular HP is also related to the twin-arginine translocation (Tat) pathway signal sequence. Tat pathway is a protein transport system for the export of folded proteins . Proteins which are targeted to the Tat pathway are exported to the cell envelope or to the extracellular space by tripartite N-terminal signal peptides and Tat translocase, which are found in the cytoplasmic membrane . However, it is important to note that KPN_00953 lacks the consensus twin-arginine motif, (S/T)-R-R-x-F-L-K, which is reported to be present in all types of bacterial signal peptides [48, 49], despite the sequence similarity mentioned above. In addition to this, KPN_00953 does not contain signal peptide sequence as revealed by analyses using various signal peptide detection software such as SignalP 4.0 , Signal–3 L , iPSORT  and SOSUISignal . Hence, this omits the possibility that KPN_00953 is functionally related to Tat pathway.
Further inference on the possible function of KPN_00953 was attempted by cloning and expressing its gene in E. coli JE5505 strain which is deficient in lipoprotein production. Induced production of KPN_00953 in this particular strain changed the morphology of the cells. They appeared to be smoother with less defined edges with some having deposits on their surfaces. Cells which did not produce the cloned KPN_00953 protein appeared to be rougher with defined edges (Figure 7). This observation highlights the possibility of KPN_00953 to be involved in the functions of the cell wall, similar to other characterized peptidoglycan-hydrolyzing Zn metallopeptidases.
Based on the three-dimensional model, domain and residues conservation of KPN_00953 to D-Ala-D-Ala carboxypeptidase, we hypothesize that KPN_00953 adopts the functionality as a metallopeptidase with an important role in cell wall metabolism. This is further supported by the altered surface morphology of E. coli JE5505 cells overexpressing KPN_00953. The mechanism as to how KPN_00953 brings about these changes is worthy to be investigated in the near future. This can be achieved via gene-knockout and structural biology studies to understand its structure, function and mechanism of action. Such efforts will undoubtedly address the possibility of utilizing this protein as a new drug target against K. pneumoniae in the future.
Bacterial strains and plasmids used
K. pneumoniae MGH 78578 was purchased from American Type Culture Collection (ATCC number: 700721). Escherichia coli JM109 [end A1, rec A1, gyr A96, thi, hsd R17 (rk–, mk+), rel A1, sup E44, Δ (lac-proAB)] was used for standard cloning purposes. For microbial plate assay of the expressed HP on cell surface morphology, a lipoprotein deletion mutant, Escherichia coli JE5505 [Δ (gpt-proA)62, lacY1, tsx-29, glnV44(AS), galK2(Oc), λ - , Δlpp-254, pps-6, hisG4(Oc), xylA5, mtl-1, argE3(Oc), thi-1]  was used (purchased from E. coli Genetic Resource Center, Yale University). pGEM-7Zf (+) (Promega) was used as an expression vector to express the cloned KPN_00953 gene.
Sequence analysis, model building and validation
The complete genome sequence of K. pneumoniae MGH 78578 was obtained from NCBI website [Refseq: NC_009648]. The sequences for HPs of the pathogen were selected and analyzed preliminarily using Uniprot . KPN_00953 (YcbK) was selected based on the presence of the conserved M15 peptidase domain. KPN_00953 was subjected to a series of BLAST  search against non-redundant database (NR) and Protein Data Bank (PDB). FFPred , GOStruct , Argot2 , CombFunc  and PANNZER  were used to predict the possible function of KPN_00953. SignalP 4.0 , Signal–3 L , iPSORT  and SOSUISignal  were used to determine the possible presence of signal peptide in the sequence. Multiple sequence alignment (MSA) of KPN_00953 with six other proteins sequences from other organisms was later performed with ClustalW . These proteins were selected from the list of potential hits in BLAST result which contained similar domain with KPN_00953. 1LBU  was selected as the template for homology modeling of KPN_00953 using MODELLER 9v8 . Twenty models were generated randomly and model with the best Discrete Optimized Potential Energy (DOPE) score was selected and subsequently verified using PROCHECK , Verify3D , ERRAT , ProQ  and ProSA-Web  energy plot.
Genomic DNA extraction
Genomic DNA extraction of K. pneumoniae MGH 78578 was performed using Wizard® Genomic DNA Purification Kit (Promega). The integrity and quality of the genomic DNA extracted were analyzed via agarose gel electrophoresis.
Amplification of KPN_00953 Open Reading Frame (ORF)
KPN_00953 (ycbK) gene was amplified by Polymerase Chain Reaction (PCR) using: 5’-TTAAGCTTTTGCCGGGCAACATCTCG-3’ (forward primer) and 5’-TCTTGGATCCTTACCAGTGCCTTACGGG-3 (reverse primer). Underlined sequences refer to incorporated Hind III and Bam HI restriction sites, respectively. The PCR reaction mixture (50 μl) contained Go Taq® Flexi Buffer (1X), dNTP mixture (0.2 mM), MgCl2 (1.0 mM), forward and reverse primers (1.0 μM each), genomic DNA template (0.5 ng) and 0.25U Go Taq® polymerase (Promega). A cycle of 95°C denaturation for 5 minutes, followed by 30 cycles of denaturation at 95°C for 1 minute, annealing at 55°C for 1 minute and extension at 72°C for 1 minute, and lastly further extension at 72°C for 5 minutes were performed. The amplicon was subsequently analyzed and purified using the QIAquick PCR Purification Kit (QIAGEN).
Cloning of KPN_00953 amplicon into plasmid vector
The KPN_00953 amplicon and pGEM®-7zf (+) plasmid vector were subjected to Bam HI/Hind III double digestion at 37°C for 5 hours and subsequently analyzed by gel electrophoresis followed by purification. The products were later ligated using T4 DNA ligase (New England Biolabs) at 16°C, overnight. Ligated products were then transformed into E. coli JM109 via the TSS transformation method . The presence of the recombinant plasmid constructs was verified via blue-white screening, colony PCR and sequencing. Upon positive verification of the desired construct, it was transformed into E. coli JE5505 (a lipoprotein-deficient strain).
Cell surface observation of E. Coli JE5505 overexpressing KPN_00953 hypothetical protein by scanning electron microscope (SEM)
E. coli JE5505 cells harboring the cloned KPN_00953 gene were cultivated in 5 ml LB broth supplemented with 100 μg/ml ampicillin and 0.1 mM IPTG for 16 hours at 180 rpm and 37°C. As the pGEM®-7zf (+) plasmid contains a T7 promoter, IPTG was used to induce the expression of KPN_00953 in E. coli JE5505. Cells were harvested by centrifugation at 2000 rpm for 15 minutes at room temperature and were resuspended with 300 μl of McDowell-Trump fixative prepared in 0.1 M phosphate buffer (pH7.2) for at least 2 hours. The cells were centrifuged at the same speed and duration before being resuspended again in 500 μl 0.1 M phosphate buffer. This step was repeated once and followed by resuspension in 1% osmium tetroxide prepared in the phosphate buffer for 1 hour. The cells were centrifuged and finally resuspended in distilled water. These steps were repeated thrice to ensure the pellet was properly washed. Next, dehydration steps using increasing concentrations of ethanol were performed on the sample: 50% ethanol for 10 minutes, 75% ethanol for 10 minutes, 95% ethanol for 10 minutes and 100% ethanol for 10 minutes (twice). The final dehydration process was performed using hexamethyldisilazane. The centrifugation speed and duration employed for each of the dehydration step were the same as described above. After hexamethyldisilazane was decanted, the cells in the tube were left in the desiccators to be air-dried at room temperature. They were then mounted onto an SEM specimen stub with a double-sided sticky tape and coated with gold to be viewed under SEM.
We would like to thank the Electron Microscopy Unit of School of Biological Sciences, USM for the excellent technical support and service. This work was supported by USM and UPM RU Grant Schemes (No.:1001/PBIOLOGI/815014 and 05-01-11-1191RU, respectively). BA, Teh and Nasihah, M wish to thank the Ministry of Science, Technology and Innovation (MOSTI) for the National Science Fellowship and UPM Graduate Research Fellowship awarded.
- Brisse S, Grimont F, Grimont PAD: The genus Klebsiella. Prokaryotes 2006, 6: 159–196.Google Scholar
- Podschun R, Ullmann U: Klebsiella spp. as nosocomial pathogens: epidemiology, taxonomy, typing methods, and pathogenicity factors. Clin Microbiol Rev 1998, 11(4):589–603.PubMed CentralPubMedGoogle Scholar
- Dhingra KR: A case of complicated urinary tract infection: klebsiella pneumoniae emphysematous cystitis presenting as abdominal pain in the emergency department. West J Emerg Med 2008, 9(3):171–173.PubMed CentralPubMedGoogle Scholar
- Fang CT, Chuang YP, Shun CT, Chang SC, Wang JT: A novel virulence gene in klebsiella pneumoniae strains causing primary liver abscess and septic metastatic complications. J Exp Med 2004, 199(5):697–705. 10.1084/jem.20030857PubMed CentralView ArticlePubMedGoogle Scholar
- Fung CP, Chang FY, Lee SC, Hu BS, Kuo BI, Liu CY, Ho M, Siu LK: A global emerging disease of klebsiella pneumoniae liver abscess: is serotype K1 an important factor for complicated endophthalmitis? Gut 2002, 50(3):420–424. 10.1136/gut.50.3.420PubMed CentralView ArticlePubMedGoogle Scholar
- Won SY, Munoz-Price LS, Lolans K, Hota B, Weinstein RA, Hayden MK: Emergence and rapid regional spread of klebsiella pneumoniae carbapenemase-producing enterobacteriaceae. Clin Infect Dis 2011, 53(6):532–540. 10.1093/cid/cir482View ArticlePubMedGoogle Scholar
- Bordow RA, Ries AL, Morris TA: Manual of clinical problems in pulmonary medicine: with annotated key references, 6th edn. USA: Lippincott Williams & Wilkins; 2005.Google Scholar
- Lawlor MS, Hsu J, Rick PD, Miller VL: Identification of Klebsiella pneumoniae virulence determinants using an intranasal infection model. Mol Microbiol 2005, 58(4):1054–1073. 10.1111/j.1365-2958.2005.04918.xView ArticlePubMedGoogle Scholar
- Lawlor MS, O'Connor C, Miller VL: Yersiniabactin is a virulence factor for Klebsiella pneumoniae during pulmonary infection. Infect Immun 2007, 75(3):1463–1472. 10.1128/IAI.00372-06PubMed CentralView ArticlePubMedGoogle Scholar
- Mokracka J, Koczura R, Kaznowski A: Yersiniabactin and other siderophores produced by clinical isolates of Enterobacter spp. and Citrobacter spp. FEMS Immunol Med Microbiol 2004, 40(1):51–55. 10.1016/S0928-8244(03)00276-1View ArticlePubMedGoogle Scholar
- Raymond KN, Dertz EA, Kim SS: Enterobactin: an archetype for microbial iron transport. Proc Natl Acad Sci U S A 2003, 100(7):3584–3588. 10.1073/pnas.0630018100PubMed CentralView ArticlePubMedGoogle Scholar
- Galperin MY: Conserved ‘hypothetical’ proteins: new hints and new puzzles. Comp Funct Genomics 2001, 2(1):14–18. 10.1002/cfg.66PubMed CentralView ArticlePubMedGoogle Scholar
- Bork P: Powers and pitfalls in sequence analysis: the 70% hurdle. Genome Res 2000, 10(4):398–400. 10.1101/gr.10.4.398View ArticlePubMedGoogle Scholar
- Galperin MY, Koonin EV: Searching for drug targets in microbial genomes. Curr Opin Biotechnol 1999, 10(6):571–578. 10.1016/S0958-1669(99)00035-XView ArticlePubMedGoogle Scholar
- Choi SB, Normi YM, Wahab HA: Revealing the functionality of hypothetical protein KPN00728 from Klebsiella pneumoniae MGH78578: molecular dynamics simulation approaches. BMC Bioinforma 2011, 12(13):S11.View ArticleGoogle Scholar
- Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 1997, 25(17):3389–3402. 10.1093/nar/25.17.3389PubMed CentralView ArticlePubMedGoogle Scholar
- Magrane M: the UniProt consortium: UniProt Knowledgebase: a hub of integrated protein data. Database 2011, 2011: bar009.PubMed CentralView ArticlePubMedGoogle Scholar
- Rawlings ND, Barrett AJ, Bateman A: MEROPS: the database of proteolytic enzymes, their substrates and inhibitors. Nucleic Acids Res 2012, 40(D1):D343-D350. 10.1093/nar/gkr987PubMed CentralView ArticlePubMedGoogle Scholar
- Lessard IA, Walsh CT: Mutational analysis of active-site residues of the enterococcal D-ala-D-Ala dipeptidase VanX and comparison with Escherichia coli D-ala-D-Ala ligase and D-ala-D-Ala carboxypeptidase VanY. Chem Biol 1999, 6(3):177–187. 10.1016/S1074-5521(99)89009-7View ArticlePubMedGoogle Scholar
- Charlier P, Wery J, Dideberg O, Frere J: Streptomyces albus g d-ala-a-ala carboxypeptidase. Handbook Of Metalloproteins 2004, 3: 164.Google Scholar
- Vollmer W, Blanot D, De Pedro MA: Peptidoglycan structure and architecture. FEMS Microbiol Rev 2008, 32(2):149–167. 10.1111/j.1574-6976.2007.00094.xView ArticlePubMedGoogle Scholar
- Thompson JD, Higgins DG, Gibson TJ: Clustal-W - Improving the Sensitivity of Progressive Multiple Sequence Alignment through Sequence Weighting, Position-Specific Gap Penalties and Weight Matrix Choice. Nucl Acids Res 1994, 22(22):4673–4680. 10.1093/nar/22.22.4673PubMed CentralView ArticlePubMedGoogle Scholar
- Minneci F, Piovesan D, Cozzetto D, Jones DT: FFPred 2.0: improved homology-independent prediction of gene ontology terms for eukaryotic protein sequences. PLoS One 2013, 8: e63754. 10.1371/journal.pone.0063754PubMed CentralView ArticlePubMedGoogle Scholar
- Sokolov A, Funk C, Graim K, Verspoor K, Ben-Hur A: Combining heterogeneous data sources for accurate functional annotation of proteins. BMC Bioinforma 2013, 14(3):S10.Google Scholar
- Falda M, Toppo S, Pescarolo A, Lavezzo E, Di Camillo B, Facchinetti A, Cilia E, Velasco R, Fontana P: Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. BMC Bioinforma 2012, 13(4):S14.View ArticleGoogle Scholar
- Wass MN, Barton G, Sternberg MJE: CombFunc: predicting protein function using heterogeneous data sources. Nucleic Acids Res 2012, 40: W466-W470. 10.1093/nar/gks489PubMed CentralView ArticlePubMedGoogle Scholar
- Radivojac P, et al.: A large-scale evaluation of computational protein function prediction. Nat Methods 2013, 10: 221–227. 10.1038/nmeth.2340PubMed CentralView ArticlePubMedGoogle Scholar
- Murzin AG, Brenner SE, Hubbard T, Chothia C: SCOP: A structural classification of proteins database for the investigation of sequences and structures. J Mol Biol 1995, 247(4):536–540.PubMedGoogle Scholar
- Sali A, Blundell TL: Comparative protein modelling by satisfaction of spatial restraints. J Mol Biol 1993, 234(3):779–815. 10.1006/jmbi.1993.1626View ArticlePubMedGoogle Scholar
- Laskowski RA, Macarthur MW, Moss DS, Thornton JM: Procheck - a program to theck the stereochemical quality of protein structures. J Appl Crystallogr 1993, 26: 283–291. 10.1107/S0021889892009944View ArticleGoogle Scholar
- Eisenberg D, Lüthy R, Bowie JU: VERIFY3D: assessment of protein models with three-dimensional profiles. Meth Enzymol 1997, 277: 396–404.View ArticlePubMedGoogle Scholar
- Colovos C, Yeates TO: Verification of protein structures: patterns of nonbonded atomic interactions. Protein Sci 1993, 2(9):1511–1519. 10.1002/pro.5560020916PubMed CentralView ArticlePubMedGoogle Scholar
- Wallner B, Elofsson A: Can correct protein models be identified? Protein Sci 2003, 12(5):1073–1086. 10.1110/ps.0236803PubMed CentralView ArticlePubMedGoogle Scholar
- Wiederstein M, Sippl MJ: ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins. Nucl Acids Res 2007, 35: W407-W410. 10.1093/nar/gkm290PubMed CentralView ArticlePubMedGoogle Scholar
- Korndörfer IP, Kanitz A, Danzer J, Zimmer M, Loessner MJ, Skerra A: Structural analysis of the L-alanoyl-D-glutamate endopeptidase domain of Listeria bacteriophage endolysin Ply500 reveals a new member of the LAS peptidase family. Acta Cryst 2008, D64: 644–650.Google Scholar
- Hooper NM: Families of zinc metalloproteases. FEBS Lett 1994, 354(1):1–6. 10.1016/0014-5793(94)01079-XView ArticlePubMedGoogle Scholar
- Makarova KS, Grishin NV: The Zn-peptidase superfamily: functional convergence after evolutionary divergence. J Mol Biol 1999, 292(1):11–17. 10.1006/jmbi.1999.3059View ArticlePubMedGoogle Scholar
- Heinig M, Frishman D: STRIDE: a web server for secondary structure assignment from known atomic coordinates of proteins. Nucl Acids Res 2004, 32: W500-W502. 10.1093/nar/gkh429PubMed CentralView ArticlePubMedGoogle Scholar
- Zhang J, Yang W, Piquemal J-P, Ren P: Modeling Structural Coordination and Ligand Binding in Zinc Proteins with a Polarizable Potential. J Chem Theory Comput 2012, 8(4):1314–1324.PubMed CentralView ArticlePubMedGoogle Scholar
- Bochtler M, Odintsov SG, Marcyjaniak M, Sabala I: Similar active sites in lysostaphins and D-Ala-D-Ala metallopeptidases. Protein Sci 2004, 13(4):854–861. 10.1110/ps.03515704PubMed CentralView ArticlePubMedGoogle Scholar
- Marcyjaniak M, Odintsov SG, Sabala I, Bochtler M: Peptidoglycan amidase MepA is a LAS metallopeptidase. J Biol Chem 2004, 279(42):43982–43989. 10.1074/jbc.M406735200View ArticlePubMedGoogle Scholar
- Hirota Y, Suzuki H, Nishimura Y, Yasuda S: On the process of cellular division in Escherichia coli: a mutant of E. coli lacking a murein-lipoprotein. Proc Natl Acad Sci U S A 1977, 74(4):1417–1420. 10.1073/pnas.74.4.1417PubMed CentralView ArticlePubMedGoogle Scholar
- Schleifer KH, Kandler O: Peptidoglycan types of bacterial cell walls and their taxonomic implications. Bacteriol Rev 1972, 36(4):407–477.PubMed CentralPubMedGoogle Scholar
- McCafferty DG, Lessard IA, Walsh CT: Mutational analysis of potential zinc-binding residues in the active site of the enterococcal D-Ala-D-Ala dipeptidase VanX. Biochemistry 1997, 36(34):10498–10505. 10.1021/bi970543uView ArticlePubMedGoogle Scholar
- Bussiere DE, Pratt SD, Katz L, Severin JM, Holzman T, Park CH: The structure of VanX reveals a novel amino-dipeptidase involved in mediating transposon-based vancomycin resistance. Mol Cell 1998, 2(1):75–84. 10.1016/S1097-2765(00)80115-XView ArticlePubMedGoogle Scholar
- Widdick DA, Dilks K, Chandra G, Bottrill A, Naldrett M, Pohlschroder M, Palmer T: The twin-arginine translocation pathway is a major route of protein export in Streptomyces coelicolor. Proc Natl Acad Sci U S A 2006, 103(47):17927–17932. 10.1073/pnas.0607025103PubMed CentralView ArticlePubMedGoogle Scholar
- Sargent F, Berks BC, Palmer T: Pathfinders and trailblazers: a prokaryotic targeting system for transport of folded proteins. FEMS Microbiol Lett 2006, 254(2):198–207. 10.1111/j.1574-6968.2005.00049.xView ArticlePubMedGoogle Scholar
- Berks BC: A common export pathway for proteins binding complex redox cofactors? Mol Microbiol 1996, 22(3):393–404. 10.1046/j.1365-2958.1996.00114.xView ArticlePubMedGoogle Scholar
- Berks BC, Sargent F, Palmer T: The Tat protein export pathway. Mol Microbiol 2000, 35(2):260–274. 10.1046/j.1365-2958.2000.01719.xView ArticlePubMedGoogle Scholar
- Petersen TN, Brunak S, von Heijne G, Nielsen H: SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat Methods 2011, 8(10):785–786. 10.1038/nmeth.1701View ArticlePubMedGoogle Scholar
- Shen HB, Chou KC: Signal-3 L: A 3-layer approach for predicting signal peptides. Biochem Bioph Res Co 2007, 363(2):297–303. 10.1016/j.bbrc.2007.08.140View ArticleGoogle Scholar
- Bannai H, Tamada Y, Maruyama O, Nakai K, Miyano S: Extensive feature detection of N-terminal protein sorting signals. Bioinformatics 2002, 18(2):298–305. 10.1093/bioinformatics/18.2.298View ArticlePubMedGoogle Scholar
- Gomi MSM, Mitaku S: High performance system for signal peptide prediction: SOSUIsignal. Chem-Bio Informatics Journal 2004, 4(4):142–147. 10.1273/cbij.4.142View ArticleGoogle Scholar
- Chung CT, Niemela SL, Miller RH: One-step preparation of competent Escherichia coli: transformation and storage of bacterial cells in the same solution. Proc Natl Acad Sci U S A 1989, 86(7):2172–2175. 10.1073/pnas.86.7.2172PubMed CentralView ArticlePubMedGoogle Scholar
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