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Record W2096889754 · doi:10.1093/jac/dkh318

Identification of Pseudomonas aeruginosa FtsZ peptide inhibitors as a tool for development of novel antimicrobials

2004· letter· en· W2096889754 on OpenAlexafffund
Catherine Paradis‐Bleau

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2004
Typeletter
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPseudomonas aeruginosaAntimicrobialMicrobiologyFtsZIdentification (biology)PeptideAntibacterial agentChemistryBiologyAntibioticsBacterial proteinBacteriaBiochemistry

Abstract

fetched live from OpenAlex

Sir, The alarming increase and spread of antibiotic resistance among bacterial pathogens is one of the most serious public health problems of the last decade.1 This critical situation necessitates the design of novel classes of antibacterial agents having new mechanisms of action against novel targets. We selected the essential and highly conserved FtsZ protein from the cell division machinery of Pseudomonas aeruginosa as the most attractive target. FtsZ is at the top of hierarchic recruitment in the divisosome, its polymerization into the Z-ring coupled with GTPase activity and interactions with FtsA allow the physical separation of daughter cells.2 To identify specific inhibitors, we used the phage-display technique for the selection of short peptide ligands having high binding affinities to FtsZ among a large pool of random peptide permutations.3 The P. aeruginosa FtsZ and FtsA proteins fused with a His-tag at their C terminus were expressed in Escherichia coli under the control of the T7 promoter and purified to homogeneity on an affinity nickel column (Novagen) and by the renaturation of purified inclusion bodies for FtsA (Protein Refolding Kit, Novagen, Madison, USA). N-terminal sequencing confirmed the identity of both proteins. The GTPase activity of FtsZ and the ATPase activity of FtsA were measured using a thin layer chromatography (TLC) assay with 32P-labelled nucleotides (Perkin-Elmer) as substrates. A UV cross-link specific nucleotide binding assay confirmed that FtsZ binds preferentially GTP and that FtsA binds preferentially ATP. Purified FtsZ was used to screen for GTPase peptide inhibitors by phage-display using the PH.D.-12 and PH.D.-C-7-C phage libraries (New England Biolabs) containing ∼2.7 × 109 12-mer and ∼3.7 × 109 C-7-C-mer random peptide sequences, respectively. The specificity of the three rounds of biopanning was raised by increasing the stringency of the washes and by decreasing the time of contact between the phage encoding peptide fusions and FtsZ. Phages encoding peptides having specific affinity with FtsZ were eluted by non-specific disruption using glycine and by competitive elutions using nucleotide substrate GTP, non-hydrolysable substrate analogue 5′-guanylylimidodiphosphate and FtsA. This unique biopanning identified two C-7-C mers and one 12-mer consensus peptide sequences against FtsZ, reported here as FtsZp1 (CSYEKRPMC), FtsZp2 (CLTKSYTSC) and FtsZp3 (GAVTYSRISGQY). These three peptides were synthesized and their inhibitory capacities of the GTPase activity of FtsZ were evaluated by calculating the percentage of residual enzyme activity. Various concentrations of peptide buffered solutions were pre-incubated with 12 μM of FtsZ in reaction buffer (50 mM Bis-Tris propane pH 7.4, 10 mM MgCl2) for 20 min at room temperature. [32P]GTP was added and mixtures were immediately incubated for 1 h at 37°C. The enzyme reaction was visualized using 2 μL of each reaction sample separated by TLC along with positive (FtsZ alone) and negative (without FtsZ) controls. The percentage of hydrolysis of radioactive substrate was measured by autoradiography. The values of 50% inhibitory concentration (IC50s) for peptides were obtained by plotting the percentage of residual enzymic activity as a function of increasing peptide concentrations (Figure 1). When compared to BSA protein in a competitive assay and to random peptides, the three consensus peptides were able to specifically inhibit the FtsZ GTPase activity. The C-7-C-mers FtsZp1 and FtsZp2 gave an IC50 of 0.45 mM and 1.2 mM whereas the 12-mer gave an IC50 of 5 mM (Figure 1). The three-dimensional crystal structure of FtsZ showed a compact and globular protein.4 We hypothesized that the C-7-C-mer peptides would have more affinity for FtsZ than the 12-mers. The reducing agent dithiothreitol (DTT) had no effect on the inhibitory capacity of the 12-mer peptide FtsZp3. In contrast, DTT reduced significantly the inhibitory potential of the two C-7-C peptides. These results indicated that the disulphide bond formed by the two cysteines of the C-7-C peptides and the subsequent loop conformation were important for their inhibitory potential. Cell division proteins have rarely been used as target proteins and the sole small molecule viriditoxin that inhibits FtsZ was discovered during the course of this work.5 This study allowed the identification of three peptides inhibiting the GTPase activity of the essential cell division protein FtsZ. In perspective, it will be useful to determine their inhibitory constant (Ki) values and to analyse their inhibitory capacities on other GTPases so as to define their specificity. In order to obtain promising lead compounds, inhibitory peptides will undergo chemical modifications and their sequences will constitute the core for the synthesis of libraries of peptidomimetic molecules.6 IC50 determinations for the phage-display-derived peptide inhibitors of FtsZ GTPase. The residual enzymic activity was measured as a function of the concentration of the C-7-C peptides (a) FtsZp1, (b) FtsZp2 and (c) the 12-mer FtsZp3. The peptide sequences are given in the text. We thank Le Service de séquence de peptides de l'Est du Québec and Le Service d'analyse et de synthèse d'acides nucléiques de l'Université Laval. This work was funded by The Canadian Bacterial Diseases Network via the Canadian Centers of Excellence and a FCAR infrastructure team grant to R. C. Levesque and a CRSNG studentship to C. Paradis-Bleau.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.261
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations24
Published2004
Admission routes2
Has abstractno

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