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A Catalytic Mechanism for Cysteine N-Terminal Nucleophile Hydrolases, as Revealed by Free Energy Simulations

Overview of attention for article published in PLOS ONE, February 2012
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Title
A Catalytic Mechanism for Cysteine N-Terminal Nucleophile Hydrolases, as Revealed by Free Energy Simulations
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0032397
Pubmed ID
Authors

Alessio Lodola, Davide Branduardi, Marco De Vivo, Luigi Capoferri, Marco Mor, Daniele Piomelli, Andrea Cavalli

Abstract

The N-terminal nucleophile (Ntn) hydrolases are a superfamily of enzymes specialized in the hydrolytic cleavage of amide bonds. Even though several members of this family are emerging as innovative drug targets for cancer, inflammation, and pain, the processes through which they catalyze amide hydrolysis remains poorly understood. In particular, the catalytic reactions of cysteine Ntn-hydrolases have never been investigated from a mechanistic point of view. In the present study, we used free energy simulations in the quantum mechanics/molecular mechanics framework to determine the reaction mechanism of amide hydrolysis catalyzed by the prototypical cysteine Ntn-hydrolase, conjugated bile acid hydrolase (CBAH). The computational analyses, which were confirmed in water and using different CBAH mutants, revealed the existence of a chair-like transition state, which might be one of the specific features of the catalytic cycle of Ntn-hydrolases. Our results offer new insights on Ntn-mediated hydrolysis and suggest possible strategies for the creation of therapeutically useful inhibitors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Serbia 1 1%
Italy 1 1%
Brazil 1 1%
Unknown 72 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 31%
Researcher 14 19%
Student > Bachelor 10 13%
Student > Master 9 12%
Professor 4 5%
Other 7 9%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 24%
Chemistry 17 23%
Biochemistry, Genetics and Molecular Biology 16 21%
Immunology and Microbiology 4 5%
Physics and Astronomy 3 4%
Other 6 8%
Unknown 11 15%