Dataset Information

Hydrogen bonding and protein perturbation in beta-lactam acyl-enzymes of Streptococcus pneumoniae penicillin-binding protein PBP2x.

ABSTRACT: A soluble form of Streptococcus pneumoniae PBP2x, a molecular target of penicillin and cephalosporin antibiotics, has been expressed and purified. IR difference spectra of PBP2x acylated with benzylpenicillin, cloxacillin, cephalothin and ceftriaxone have been measured. The difference spectra show two main features. The ester carbonyl vibration of the acyl-enzyme is ascribed to a small band between 1710 and 1720 cm-1, whereas a much larger band at approx. 1640 cm-1 is ascribed to a perturbation in the structure of the enzyme, which occurs on acylation. The protein perturbation has been interpreted as occurring in beta-sheet. The acyl-enzyme formed with benzylpenicillin shows the lowest ester carbonyl vibration frequency, which is interpreted to mean that the carbonyl oxygen is the most strongly hydrogen-bonded in the oxyanion hole of the antibiotics studied. The semi-synthetic penicillin cloxacillin is apparently less well organized in the active site and shows two partially overlapping ester carbonyl bands. The penicillin acyl-enzyme has been shown to deacylate more slowly than that formed with cloxacillin. This demonstrates that the natural benzylpenicillin forms a more optimized and better-bonded acyl-enzyme and that this in turn leads to the stabilization of the acyl-enzyme required for effective action in the inhibition of PBP2x. The energetics of hydrogen bonding in the several acyl-enzymes is discussed and comparison is made with carbonyl absorption frequencies of model ethyl esters in a range of organic solvents. A comparison of hydrolytic deacylation with hydroxaminolysis for both chymotryspin and PBP2x leads to the conclusion that deacylation is uncatalysed.

SUBMITTER: Chittock RS

PROVIDER: S-EPMC1220037 | biostudies-other | 1999 Feb

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:Unlabelled?-Lactam antibiotics are the drugs of choice to treat pneumococcal infections. The spread of ?-lactam-resistant pneumococci is a major concern in choosing an effective therapy for patients. Systematically tracking ?-lactam resistance could benefit disease surveillance. Here we developed a classification system in which a pneumococcal isolate is assigned to a "PBP type" based on sequence signatures in the transpeptidase domains (TPDs) of the three critical penicillin-binding proteins (PBPs), PBP1a, PBP2b, and PBP2x. We identified 307 unique PBP types from 2,528 invasive pneumococcal isolates, which had known MICs to six ?-lactams based on broth microdilution. We found that increased ?-lactam MICs strongly correlated with PBP types containing divergent TPD sequences. The PBP type explained 94 to 99% of variation in MICs both before and after accounting for genomic backgrounds defined by multilocus sequence typing, indicating that genomic backgrounds made little independent contribution to ?-lactam MICs at the population level. We further developed and evaluated predictive models of MICs based on PBP type. Compared to microdilution MICs, MICs predicted by PBP type showed essential agreement (MICs agree within 1 dilution) of >98%, category agreement (interpretive results agree) of >94%, a major discrepancy (sensitive isolate predicted as resistant) rate of <3%, and a very major discrepancy (resistant isolate predicted as sensitive) rate of <2% for all six ?-lactams. Thus, the PBP transpeptidase signatures are robust indicators of MICs to different ?-lactam antibiotics in clinical pneumococcal isolates and serve as an accurate alternative to phenotypic susceptibility testing.ImportanceThe human pathogen Streptococcus pneumoniae is a leading cause of morbidity and mortality worldwide. ?-Lactam antibiotics such as penicillin and ceftriaxone are the drugs of choice to treat pneumococcal infections. Some pneumococcal strains have developed ?-lactam resistance through altering their penicillin-binding proteins (PBPs) and have become a major concern in choosing effective patient therapy. To systematically track and predict ?-lactam resistance, we obtained the sequence signatures of PBPs from a large collection of clinical pneumococcal isolates using whole-genome sequencing data and found that these "PBP types" were predictive of resistance levels. Our findings can benefit the current era of strain surveillance when whole-genome sequencing data often lacks detailed resistance information. Using PBP positions that we found are always substituted within highly resistant strains may lead to further refinements. Sequence-based predictions are accurate and may lead to the ability to extract critical resistance information from nonculturable clinical specimens.

Dataset Information

Hydrogen bonding and protein perturbation in beta-lactam acyl-enzymes of Streptococcus pneumoniae penicillin-binding protein PBP2x.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets