| Title |
Prediction of Xaa-Pro peptide bond conformation from sequence and chemical shifts
|
|---|---|
| Published in |
Journal of Biomolecular NMR, December 2009
|
| DOI | 10.1007/s10858-009-9395-y |
| Pubmed ID | |
| Authors |
Yang Shen, Ad Bax |
| Abstract |
We present a program, named Promega, to predict the Xaa-Pro peptide bond conformation on the basis of backbone chemical shifts and the amino acid sequence. Using a chemical shift database of proteins of known structure together with the PDB-extracted amino acid preference of cis Xaa-Pro peptide bonds, a cis/trans probability score is calculated from the backbone and (13)C(beta) chemical shifts of the proline and its neighboring residues. For an arbitrary number of input chemical shifts, which may include Pro-(13)C(gamma), Promega calculates the statistical probability that a Xaa-Pro peptide bond is cis. Besides its potential as a validation tool, Promega is particularly useful for studies of larger proteins where Pro-(13)C(gamma) assignments can be challenging, and for on-going efforts to determine protein structures exclusively on the basis of backbone and (13)C(beta) chemical shifts. |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| France | 2 | 2% |
| Italy | 1 | <1% |
| New Zealand | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 115 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 31% |
| Student > Ph. D. Student | 33 | 27% |
| Student > Bachelor | 13 | 10% |
| Professor | 5 | 4% |
| Professor > Associate Professor | 5 | 4% |
| Other | 12 | 10% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 36 | 29% |
| Biochemistry, Genetics and Molecular Biology | 35 | 28% |
| Agricultural and Biological Sciences | 21 | 17% |
| Medicine and Dentistry | 3 | 2% |
| Physics and Astronomy | 2 | 2% |
| Other | 5 | 4% |
| Unknown | 22 | 18% |
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 16 January 2012.
All research outputs
#15,241,259
of 22,661,413 outputs
Outputs from Journal of Biomolecular NMR
#382
of 614 outputs
Outputs of similar age
#134,010
of 163,493 outputs
Outputs of similar age from Journal of Biomolecular NMR
#1
of 1 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 163,493 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them