| Title |
A simple method to adjust inconsistently referenced 13C and 15N chemical shift assignments of proteins
|
|---|---|
| Published in |
Journal of Biomolecular NMR, February 2005
|
| DOI | 10.1007/s10858-004-7441-3 |
| Pubmed ID | |
| Authors |
Yunjun Wang, David S. Wishart |
| Abstract |
Inconsistent 13C and 15N chemical shift referencing is a continuing problem associated with protein chemical shift assignments deposited in BioMagResBank (BMRB). Here we describe a simple and robust approach that can quantitatively determine the 13C and 15N referencing offsets solely from chemical shift assignment data and independently of 3D coordinate data. This novel structure-independent approach permitted the assessment and determination of 13C and 15N reference offsets for all protein entries deposited in the BMRB. Tests on 452 proteins with known 3D structures show that this structure-independent approach yields 13C and 15N referencing offsets that exhibit excellent agreement with those calculated on the basis of 3D structures. Furthermore, this protocol appears to improve the accuracy of chemical shift-derived secondary structural identification, and has been formally incorporated into a computer program called PSSI (http//www.pronmr.com). |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 3% |
| Switzerland | 1 | 3% |
| Belgium | 1 | 3% |
| Russia | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 26 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 32% |
| Student > Ph. D. Student | 4 | 13% |
| Professor | 4 | 13% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 32% |
| Agricultural and Biological Sciences | 10 | 32% |
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Environmental Science | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 4 | 13% |
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 01 April 2014.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Journal of Biomolecular NMR
#132
of 614 outputs
Outputs of similar age
#36,531
of 141,301 outputs
Outputs of similar age from Journal of Biomolecular NMR
#3
of 5 outputs
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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 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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