| Title |
MERA: a webserver for evaluating backbone torsion angle distributions in dynamic and disordered proteins from NMR data
|
|---|---|
| Published in |
Journal of Biomolecular NMR, July 2015
|
| DOI | 10.1007/s10858-015-9971-2 |
| Pubmed ID | |
| Authors |
Alexey B. Mantsyzov, Yang Shen, Jung Ho Lee, Gerhard Hummer, Ad Bax |
| Abstract |
MERA (Maximum Entropy Ramachandran map Analysis from NMR data) is a new webserver that generates residue-by-residue Ramachandran map distributions for disordered proteins or disordered regions in proteins on the basis of experimental NMR parameters. As input data, the program currently utilizes up to 12 different parameters. These include three different types of short-range NOEs, three types of backbone chemical shifts ((15)N, (13)C(α), and (13)C'), six types of J couplings ((3)JHNHα, (3)JC'C', (3)JC'Hα, (1)JHαCα, (2)JCαN and (1)JCαN), as well as the (15)N-relaxation derived J(0) spectral density. The Ramachandran map distributions are reported in terms of populations of their 15° × 15° voxels, and an adjustable maximum entropy weight factor is available to ensure that the obtained distributions will not deviate more from a newly derived coil library distribution than required to account for the experimental data. MERA output includes the agreement between each input parameter and its distribution-derived value. As an application, we demonstrate performance of the program for several residues in the intrinsically disordered protein α-synuclein, as well as for several static and dynamic residues in the folded protein GB3. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 27% |
| Researcher | 11 | 20% |
| Professor | 5 | 9% |
| Other | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 8 | 15% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 33% |
| Chemistry | 12 | 22% |
| Agricultural and Biological Sciences | 6 | 11% |
| Chemical Engineering | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 11 | 20% |
Attention Score in Context
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#18,423,683
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Outputs from Journal of Biomolecular NMR
#461
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Outputs of similar age from Journal of Biomolecular NMR
#8
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