| Title |
Titanium dioxide nanoparticle–protein interaction explained by docking approach
|
|---|---|
| Published in |
International Journal of Nanomedicine, March 2018
|
| DOI | 10.2147/ijn.s125008 |
| Pubmed ID | |
| Authors |
Shivendu Ranjan, Nandita Dasgupta, Chinnappan Sudandiradoss, Chidambaram Ramalingam, Ashtosh Kumar |
| Abstract |
Titanium dioxide has been proven for toxicity by in vitro and in vivo approaches, however, further studies are needed in nano-toxicological research using in silico analysis. In this study, Autodock 4.0.5 was used in an attempt to evaluate the interaction of titanium dioxide with proteins. Different cellular proteins were sorted to study the interaction, binding sites, and active sites as a pocket. These pockets have been determined using CastP - an online server. The analysis for the docked structures was performed with regard to the most efficient binding with amino acids. This study is the first of its kind to report on the in silico docking interaction of titanium dioxide nanoparticles without any surface modification. The higher negative binding energy shows strong binding of titanium dioxide with proteins. A strong interaction with different cellular proteins was observed, and more specifically, titanium dioxide nanoparticles showed frequent interaction with proline, lysine, as well as leusine. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Student > Bachelor | 7 | 16% |
| Student > Doctoral Student | 4 | 9% |
| Student > Postgraduate | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 7 | 16% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 22% |
| Agricultural and Biological Sciences | 8 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 11% |
| Chemistry | 5 | 11% |
| Immunology and Microbiology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 14 | 31% |
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 15 March 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from International Journal of Nanomedicine
#3,127
of 4,122 outputs
Outputs of similar age
#269,495
of 344,853 outputs
Outputs of similar age from International Journal of Nanomedicine
#55
of 81 outputs
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