| Title |
Antiquorum sensing activity of silver nanoparticles in P. aeruginosa: an in silico study
|
|---|---|
| Published in |
In Silico Pharmacology, October 2017
|
| DOI | 10.1007/s40203-017-0031-3 |
| Pubmed ID | |
| Authors |
Syed Ghazanfar Ali, Mohammad Azam Ansari, Qazi Mohd. Sajid Jamal, Haris M. Khan, Mohammad Jalal, Hilal Ahmad, Abbas Ali Mahdi |
| Abstract |
Pseudomonas aeruginosa an opportunistic pathogen regulates its virulence through Quorum sensing (QS) mechanism comprising of Las and Rhl system. Targeting of QS mechanism could be an ideal strategy to combat infection caused by P. aeruginosa. Silver nanoparticles (AgNPs) have been broadly applied as antimicrobial agents against a number of pathogenic bacterial and fungal strains, but have not been reported as an anti-QS agent. Therefore, the aim of present work was to show the computational analysis for the interaction of AgNPs with the QS system using an In silico approach. In silico studies showed that AgNPs got 'locked' deeply into the active site of respective proteins with their surrounding residues. The molecular docking analysis clearly demonstrated that AgNPs got bound to the catalytic cleft of LasI synthase (Asp73-Ag = 3.1 Å), RhlI synthase (His52-Ag = 2.8 Å), transcriptional receptor protein LasR (Leu159-Ag = 2.3 Å) and RhlR (Trp10-Ag = 3.1 Å and Glu34-Ag = 3.2 Å). The inhibition of LasI/RhlI synthase by AgNPs blocked the biosynthesis of AHLs, thus no AHL produced, no QS occurred. Further, interference with transcriptional regulatory proteins led to the inactivation of LasR/RhlR system that finally blocked the expression of QS-controlled virulence genes. Our findings clearly demonstrate the anti-QS property of AgNPs in P. aeruginosa which could be an alternative approach to the use of traditional antibiotics for the treatment of P. aeruginosa infection. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 18% |
| Student > Master | 7 | 14% |
| Student > Ph. D. Student | 5 | 10% |
| Researcher | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 15 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 20% |
| Medicine and Dentistry | 5 | 10% |
| Agricultural and Biological Sciences | 5 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Immunology and Microbiology | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 17 | 35% |
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 04 November 2017.
All research outputs
#14,084,031
of 23,007,053 outputs
Outputs from In Silico Pharmacology
#29
of 76 outputs
Outputs of similar age
#175,754
of 328,584 outputs
Outputs of similar age from In Silico Pharmacology
#2
of 3 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 76 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 61% of its peers.
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We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.