| Title |
Outcome of the First wwPDB Hybrid/Integrative Methods Task Force Workshop
|
|---|---|
| Published in |
Structure, June 2015
|
| DOI | 10.1016/j.str.2015.05.013 |
| Pubmed ID | |
| Authors |
Andrej Sali, Helen M. Berman, Torsten Schwede, Jill Trewhella, Gerard Kleywegt, Stephen K. Burley, John Markley, Haruki Nakamura, Paul Adams, Alexandre M.J.J. Bonvin, Wah Chiu, Matteo Dal Peraro, Frank Di Maio, Thomas E. Ferrin, Kay Grünewald, Aleksandras Gutmanas, Richard Henderson, Gerhard Hummer, Kenji Iwasaki, Graham Johnson, Catherine L. Lawson, Jens Meiler, Marc A. Marti-Renom, Gaetano T. Montelione, Michael Nilges, Ruth Nussinov, Ardan Patwardhan, Juri Rappsilber, Randy J. Read, Helen Saibil, Gunnar F. Schröder, Charles D. Schwieters, Claus A.M. Seidel, Dmitri Svergun, Maya Topf, Eldon L. Ulrich, Sameer Velankar, John D. Westbrook |
| Abstract |
Structures of biomolecular systems are increasingly computed by integrative modeling that relies on varied types of experimental data and theoretical information. We describe here the proceedings and conclusions from the first wwPDB Hybrid/Integrative Methods Task Force Workshop held at the European Bioinformatics Institute in Hinxton, UK, on October 6 and 7, 2014. At the workshop, experts in various experimental fields of structural biology, experts in integrative modeling and visualization, and experts in data archiving addressed a series of questions central to the future of structural biology. How should integrative models be represented? How should the data and integrative models be validated? What data should be archived? How should the data and models be archived? What information should accompany the publication of integrative models? |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | 38% |
| United Kingdom | 2 | 25% |
| United States | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Italy | 2 | 1% |
| Turkey | 1 | <1% |
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Germany | 1 | <1% |
| China | 1 | <1% |
| Canada | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 133 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 25% |
| Student > Ph. D. Student | 28 | 19% |
| Professor | 10 | 7% |
| Student > Doctoral Student | 9 | 6% |
| Student > Master | 9 | 6% |
| Other | 23 | 16% |
| Unknown | 30 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 44 | 30% |
| Agricultural and Biological Sciences | 36 | 25% |
| Chemistry | 12 | 8% |
| Computer Science | 7 | 5% |
| Physics and Astronomy | 6 | 4% |
| Other | 8 | 5% |
| Unknown | 33 | 23% |