↓ Skip to main content

Inhibitor binding studies of Mycobacterium tuberculosis MraY (Rv2156c): Insights from molecular modeling, docking, and simulation studies

Overview of attention for article published in Journal of Biomolecular Structure and Dynamics, December 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
40 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Inhibitor binding studies of Mycobacterium tuberculosis MraY (Rv2156c): Insights from molecular modeling, docking, and simulation studies
Published in
Journal of Biomolecular Structure and Dynamics, December 2018
DOI 10.1080/07391102.2018.1526715
Pubmed ID
Authors

Bala Divya Mallavarapu, Maaged Abdullah, Shalini Saxena, Lalitha Guruprasad

Abstract

Tuberculosis (TB) is a contagious disease caused by Mycobacterium tuberculosis (M.tb) or tubercule bacillus, and H37Rv is the most studied clinical strain. The recent development of resistance to existing drugs is a global healthcare challenge to control and cure TB. Hence, there is a critical need to discover new drug targets in M.tb. The members of peptidoglycan biosynthesis pathway are attractive target proteins for antibacterial drug development. We have performed the in-silico analysis of M.tb MraY (Rv2156c) integral membrane protein, constructed the 3D structure model of M.tb MraY based on homology modeling method. The validated model was complexed with antibiotic muraymycin D2 (MD2) and was used to generate structure-based pharmacophore model (e-pharmacophore). High-throughput virtual screening (HTVS) of Asinex database and molecular docking of hits was performed to identify the potential inhibitors based on their mode of interactions with the key residues involved in M.tb MraY-MD2 binding. The validation of these molecules was performed using molecular dynamics (MD) simulations for two best identified hit molecules complexed with M.tb MraY in the lipid bilayer, dipalmitoylphosphatidyl-choline (DPPC) membrane. The results indicated the stability of the complexes formed and retained non-bonding interactions similar to MD2. These findings may help in the design of new inhibitors to M.tb MraY involved in peptidoglycan biosynthesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 20%
Student > Ph. D. Student 7 18%
Lecturer 3 8%
Other 2 5%
Professor 2 5%
Other 7 18%
Unknown 11 28%
Readers by discipline Count As %
Chemistry 7 18%
Biochemistry, Genetics and Molecular Biology 5 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Agricultural and Biological Sciences 3 8%
Immunology and Microbiology 3 8%
Other 5 13%
Unknown 14 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 July 2020.
All research outputs
#14,425,486
of 23,103,903 outputs
Outputs from Journal of Biomolecular Structure and Dynamics
#879
of 2,213 outputs
Outputs of similar age
#235,549
of 436,931 outputs
Outputs of similar age from Journal of Biomolecular Structure and Dynamics
#13
of 63 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,213 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 436,931 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.