Dataset Information

Solvent-assisted slow conversion of a dithiazole derivative produces a competitive inhibitor of peptide deformylase.

ABSTRACT: Due to its potential as an antibiotic target, E. coli peptide deformylase (PDF(Ec)) serves as a model enzyme system for inhibitor design. While investigating the structural-functional and inhibitory features of this enzyme, we unexpectedly discovered that 2-amino-5-mercapto-1,3,4-thiadiazole (AMT) served as a slow-binding inhibitor of PDF(Ec) when the above compound was dissolved only in dimethylformamide (DMF), but not in any other solvent, and allowed to age. The time dependent inhibitory potency of the DMF-dissolved AMT was correlated with the broadening of the inhibitor's 295 nm spectral band toward the visible region, concomitant with the increase in the mass of the parent compound by about 2-fold. These data led to the suggestion that DMF facilitated the slow dimerization of AMT (via the formation of a disulfide bond), and that the dimeric form of AMT served as an inhibitor for PDF(Ec). The latter is not caused by the simple oxidation of sulfhydryl groups by oxidizing agents such as H(2)O(2). Newly synthesized dimeric/dithiolated form of AMT ("bis-AMT") exhibited similar spectral and inhibitory features as given by the parent compound when incubated with DMF. The computer graphic modeling data revealed that bis-AMT could be reliably accommodated within the active site pocket of PDF(Ec), and the above enzyme-ligand interaction involves coordination with the enzyme resident Ni(2+) cofactor. The mechanism of the DMF-assisted activation of AMT (generating bis-AMT), the overall microscopic pathway for the slow-binding inhibition of PDF(Ec) by bis-AMT, and the potential of bis-AMT to serve as a new class of antibiotic agent are presented.

SUBMITTER: Berg AK

PROVIDER: S-EPMC2855385 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Solvent-assisted slow conversion of a dithiazole derivative produces a competitive inhibitor of peptide deformylase.

Berg Alexander K AK Yu Qingfeng Q Qian Steven Y SY Haldar Manas K MK Srivastava D K DK

Biochimica et biophysica acta 20091114 4

Due to its potential as an antibiotic target, E. coli peptide deformylase (PDF(Ec)) serves as a model enzyme system for inhibitor design. While investigating the structural-functional and inhibitory features of this enzyme, we unexpectedly discovered that 2-amino-5-mercapto-1,3,4-thiadiazole (AMT) served as a slow-binding inhibitor of PDF(Ec) when the above compound was dissolved only in dimethylformamide (DMF), but not in any other solvent, and allowed to age. The time dependent inhibitory pote ...[more]

PMID: 19922819

Similar Datasets

Project description:BackgroundPeptide ligands have tremendous therapeutic potential as efficacious drugs. Currently, more than 40 peptides are available in the market for a drug. However, since costly and time-consuming synthesis procedures represent a problem for high-throughput screening, novel procedures to reduce the time and labor involved in screening peptide ligands are required. We propose the novel approach of 'in silico panning' which consists of a two-stage screening, involving affinity selection by docking simulation and evolution of the peptide ligand using genetic algorithms (GAs). In silico panning was successfully applied to the selection of peptide inhibitor for water-soluble quinoprotein glucose dehydrogenase (PQQGDH).ResultsThe evolution of peptide ligands for a target enzyme was achieved by combining a docking simulation with evolution of the peptide ligand using genetic algorithms (GAs), which mimic Darwinian evolution. Designation of the target area as next to the substrate-binding site of the enzyme in the docking simulation enabled the selection of a non-competitive inhibitor. In all, four rounds of selection were carried out on the computer; the distribution of the docking energy decreased gradually for each generation and improvements in the docking energy were observed over the four rounds of selection. One of the top three selected peptides with the lowest docking energy, 'SERG' showed an inhibitory effect with Ki value of 20 microM. PQQGDH activity, in terms of the Vmax value, was 3-fold lower than that of the wild-type enzyme in the presence of this peptide. The mechanism of the SERG blockage of the enzyme was identified as non-competitive inhibition. We confirmed the specific binding of the peptide, and its equilibrium dissociation constant (KD) value was calculated as 60 microM by surface plasmon resonance (SPR) analysis.ConclusionWe demonstrate an effective methodology of in silico panning for the selection of a non-competitive peptide inhibitor from small virtual peptide library. This study is the first to demonstrate the usefulness of in silico evolution using experimental data. Our study highlights the usefulness of this strategy for structure-based screening of enzyme inhibitors.

Dataset Information

Solvent-assisted slow conversion of a dithiazole derivative produces a competitive inhibitor of peptide deformylase.

Publications

Solvent-assisted slow conversion of a dithiazole derivative produces a competitive inhibitor of peptide deformylase.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets