| Title |
The interface of protein-protein complexes: Analysis of contacts and prediction of interactions
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, December 2007
|
| DOI | 10.1007/s00018-007-7451-x |
| Pubmed ID | |
| Authors |
R. P. Bahadur, M. Zacharias |
| Abstract |
Specific protein-protein interactions are essential for cellular functions. Experimentally determined three-dimensional structures of protein-protein complexes offer the possibility to characterize binding interfaces in terms of size, shape and packing density. Comparison with crystal-packing interfaces representing nonspecific protein-protein contacts gives insight into how specific binding differs from nonspecific low-affinity binding. An overview is given on empirical structural rules for specific protein-protein recognition derived from known complex structures. Although single parameters such as interface size, shape or surface complementary show clear trends for different interface types, each parameter alone is insufficient to fully distinguish between specific versus crystal-packing contacts. A combination of interface parameters is, however, well suited to characterize a specific interface. This knowledge provides us with the essential ingredients that make up a specific protein recognition site. It is also of great value for the prediction of protein binding sites and for the evaluation of predicted complex structures. |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 2 | 1% |
| Chile | 2 | 1% |
| Italy | 2 | 1% |
| Portugal | 1 | <1% |
| Australia | 1 | <1% |
| Germany | 1 | <1% |
| Mexico | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 156 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 28% |
| Researcher | 43 | 25% |
| Student > Master | 16 | 9% |
| Student > Bachelor | 12 | 7% |
| Professor > Associate Professor | 10 | 6% |
| Other | 24 | 14% |
| Unknown | 18 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 40% |
| Biochemistry, Genetics and Molecular Biology | 30 | 17% |
| Chemistry | 21 | 12% |
| Computer Science | 13 | 8% |
| Physics and Astronomy | 5 | 3% |
| Other | 14 | 8% |
| Unknown | 20 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 June 2011.
All research outputs
#13,516,621
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#2,623
of 4,151 outputs
Outputs of similar age
#130,676
of 159,995 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#29
of 31 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.