| Title |
Binding of transition metals to S100 proteins
|
|---|---|
| Published in |
Science China Life Sciences, July 2016
|
| DOI | 10.1007/s11427-016-5088-4 |
| Pubmed ID | |
| Authors |
Benjamin A. Gilston, Eric P. Skaar, Walter J. Chazin |
| Abstract |
The S100 proteins are a unique class of EF-hand Ca(2+) binding proteins distributed in a cell-specific, tissue-specific, and cell cycle-specific manner in humans and other vertebrates. These proteins are distinguished by their distinctive homodimeric structure, both intracellular and extracellular functions, and the ability to bind transition metals at the dimer interface. Here we summarize current knowledge of S100 protein binding of Zn(2+), Cu(2+) and Mn(2+) ions, focusing on binding affinities, conformational changes that arise from metal binding, and the roles of transition metal binding in S100 protein function. |
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 % |
|---|---|---|
| United States | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Student > Doctoral Student | 6 | 10% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 4 | 7% |
| Professor > Associate Professor | 4 | 7% |
| Other | 5 | 8% |
| Unknown | 23 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 18% |
| Chemistry | 7 | 12% |
| Agricultural and Biological Sciences | 7 | 12% |
| Neuroscience | 4 | 7% |
| Medicine and Dentistry | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 24 | 40% |
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 21 July 2016.
All research outputs
#13,783,111
of 22,881,154 outputs
Outputs from Science China Life Sciences
#382
of 1,005 outputs
Outputs of similar age
#202,614
of 363,105 outputs
Outputs of similar age from Science China Life Sciences
#8
of 26 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,005 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has gotten more attention than average, scoring higher than 61% 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 363,105 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 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.