| Title |
AUTOBA: Automation of backbone assignment from HN(C)N suite of experiments
|
|---|---|
| Published in |
Journal of Biomolecular NMR, May 2011
|
| DOI | 10.1007/s10858-011-9518-0 |
| Pubmed ID | |
| Authors |
Aditi Borkar, Dinesh Kumar, Ramakrishna V. Hosur |
| Abstract |
Development of efficient strategies and automation represent important milestones of progress in rapid structure determination efforts in proteomics research. In this context, we present here an efficient algorithm named as AUTOBA (Automatic Backbone Assignment) designed to automate the assignment protocol based on HN(C)N suite of experiments. Depending upon the spectral dispersion, the user can record 2D or 3D versions of the experiments for assignment. The algorithm uses as inputs: (i) protein primary sequence and (ii) peak-lists from user defined HN(C)N suite of experiments. In the end, one gets H(N), (15)N, C(α) and C' assignments (in common BMRB format) for the individual residues along the polypeptide chain. The success of the algorithm has been demonstrated, not only with experimental spectra recorded on two small globular proteins: ubiquitin (76 aa) and M-crystallin (85 aa), but also with simulated spectra of 27 other proteins using assignment data from the BMRB. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 19% |
| Student > Ph. D. Student | 4 | 19% |
| Professor | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Unspecified | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 5 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 33% |
| Chemistry | 4 | 19% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Unspecified | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 24% |
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 30 October 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
#40,663
of 111,063 outputs
Outputs of similar age from Journal of Biomolecular NMR
#2
of 4 outputs
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