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Biochemical Characterization and Computational Identification of Mycobacterium tuberculosis Pyrazinamidase in Some Pyrazinamide-Resistant Isolates of Iran

Overview of attention for article published in The Protein Journal, May 2015
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Title
Biochemical Characterization and Computational Identification of Mycobacterium tuberculosis Pyrazinamidase in Some Pyrazinamide-Resistant Isolates of Iran
Published in
The Protein Journal, May 2015
DOI 10.1007/s10930-015-9610-5
Pubmed ID
Authors

Farahnoosh Doustdar, Mohammad Pazhang, Faramarz Mehrnejad, Mehrnoosh Safarzadeh, Davod Rabiei, Nader Chaparzadeh, Hanieh Falahati, Mohammad Mir-Derikvand

Abstract

Pyrazinamide (PZA) is one the first line anti-tuberculosis drugs that require activation by the pyrazinamidase (PZase). Most PZA-resistant Mycobacterium tuberculosis strains have mutations in the pncA gene which encoding PZase that result in the reduction or loss of the enzyme activity. Herein, we have examined how various mutations, which have been found from the PZA-resistant M. t uberculosis strains in Iran, modify the PZase activity. To elucidate the possible role of these mutations, namely A143T (MUT1), L151S (MUT2), A143T/T168A/E173K (MUT3), in the bioactivity of the enzyme, the PZase and mutant genes were cloned, functionally expressed and biochemically and computationally characterized. In comparison to the PZase enzyme, the enzymatic efficiency of mutant enzymes was decreased, with MUT2 indicating the largest enzymatic efficiency reduction. Homology models of mutants were constructed based on the PZase X-ray crystal structure. Molecular modeling and substrate docking revealed that the wild-type has much stronger binding affinity to PZA than the mutants whereas MUT2 has the weakest binding affinity. In addition, the molecular dynamics simulations and the essential dynamics results illustrated that the positions of the 51st to 71st residues were more dynamics in MUT2 as compared to the other atoms in PZase, MUT1 and MUT3 which could decrease the K m and k cat values of the enzymes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 26%
Student > Bachelor 5 13%
Researcher 5 13%
Professor > Associate Professor 3 8%
Professor 2 5%
Other 5 13%
Unknown 9 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 38%
Agricultural and Biological Sciences 5 13%
Immunology and Microbiology 4 10%
Computer Science 2 5%
Medicine and Dentistry 1 3%
Other 2 5%
Unknown 10 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 February 2016.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from The Protein Journal
#535
of 639 outputs
Outputs of similar age
#205,800
of 278,952 outputs
Outputs of similar age from The Protein Journal
#4
of 6 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 639 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.