| Title |
Computational investigation of molecular mechanism and neuropathological implications in Huntington disease
|
|---|---|
| Published in |
Molecular and Cellular Biochemistry, September 2015
|
| DOI | 10.1007/s11010-015-2462-7 |
| Pubmed ID | |
| Authors |
Chandrasekhar Gopalakrishnan, Namrata Kalsi, Shraddha Jethi, Rituraj Purohit |
| Abstract |
Huntington's disorder (HD), caused by mutations of the IT-15 gene, is an autosomal genetic disease that causes the breakdown of the nerve cells in the brain. The IT-15 gene encodes the huntingtin (Htt) protein. Htt, along with its interacting partners, are involved in maintaining proper communication among neurons. Our work is based on the interaction behavior between Htt (in three polyglutamine (polyQ) states that is Htt 0Q, 17Q and 36Q) and SH3GL3 interacting protein by using computational methods. We used the HADDOCK docking platform to find out the extent of interaction between Htt polyQ models and SH3GL3. The Htt36Q (mutated) showed higher interaction than Htt17Q (native) with SH3GL3. Molecular dynamics simulation was performed to uncover the structural fluctuations of polyQ models and their complexes. RMSD, Rg, SASA, and total interaction energy graph showed significant results, where as mutant Htt showed higher fluctuations and flexibility than native Htt. The increase in the length of polyQ was found to affect the stability, flexibility, and compactness of the protein and its complex. Our research provided a propitious approach to understand the consequence of polyglutamination in Htt and its relation with HD. |
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 % |
|---|---|---|
| United States | 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 21% |
| Student > Bachelor | 4 | 17% |
| Researcher | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Professor | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 21% |
| Agricultural and Biological Sciences | 4 | 17% |
| Medicine and Dentistry | 4 | 17% |
| Engineering | 2 | 8% |
| Chemistry | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 3 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 July 2016.
All research outputs
#3,237,908
of 22,840,638 outputs
Outputs from Molecular and Cellular Biochemistry
#105
of 2,307 outputs
Outputs of similar age
#44,743
of 268,613 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#1
of 33 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,307 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% of its peers.
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We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.