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Variations within Class-A β-Lactamase Physiochemical Properties Reflect Evolutionary and Environmental Patterns, but not Antibiotic Specificity

Overview of attention for article published in PLoS Computational Biology, July 2013
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Title
Variations within Class-A β-Lactamase Physiochemical Properties Reflect Evolutionary and Environmental Patterns, but not Antibiotic Specificity
Published in
PLoS Computational Biology, July 2013
DOI 10.1371/journal.pcbi.1003155
Pubmed ID
Authors

Deeptak Verma, Donald J. Jacobs, Dennis R. Livesay

Abstract

The bacterial enzyme β-lactamase hydrolyzes the β-lactam ring of penicillin and chemically related antibiotics, rendering them ineffective. Due to rampant antibiotic overuse, the enzyme is evolving new resistance activities at an alarming rate. Related, the enzyme's global physiochemical properties exhibit various amounts of conservation and variability across the family. To that end, we characterize the extent of property conservation within twelve different class-A β-lactamases, and conclusively establish that the systematic variations therein parallel their evolutionary history. Large and systematic differences within electrostatic potential maps and pairwise residue-to-residue couplings are observed across the protein, which robustly reflect phylogenetic outgroups. Other properties are more conserved (such as residue pKa values, electrostatic networks, and backbone flexibility), yet they also have systematic variations that parallel the phylogeny in a statistically significant way. Similarly, the above properties also parallel the environmental condition of the bacteria they are from in a statistically significant way. However, it is interesting and surprising that the only one of the global properties (protein charge) parallels the functional specificity patterns; meaning antibiotic resistance activities are not significantly constraining the global physiochemical properties. Rather, extended spectrum activities can emerge from the background of nearly any set of electrostatic and dynamic properties.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Colombia 1 2%
India 1 2%
Germany 1 2%
Unknown 48 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 31%
Researcher 7 13%
Student > Postgraduate 5 10%
Professor 3 6%
Student > Doctoral Student 3 6%
Other 7 13%
Unknown 11 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 31%
Chemistry 10 19%
Biochemistry, Genetics and Molecular Biology 9 17%
Physics and Astronomy 2 4%
Environmental Science 1 2%
Other 2 4%
Unknown 12 23%