wiki:ProjectPapers

Version 1 (modified by davea, 14 years ago) (diff)

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Scientific publications of BOINC-based projects

Science research projects typically publish their results in scientific journals. Preliminary results are often often published in conferences. In the academic world, the scientific contribution of a project is measured largely by the number of its publications, and the prestige of the journals and conferences in which they appear.

The following scientific papers have resulted from BOINC-based projects (this list does not include papers about volunteer computing or about BOINC itself; those are here).

We encourage BOINC volunteers to use this information in selecting projects. Keep in mind that it may the process of doing research and publishing papers may take several years, so newer project will naturally have few or no publications.

Climateprediction.net

  1. D. A. Stainforth, T. Aina, C. Christensen, M. Collins, N. Faull, D. J. Frame, J. A. Kettleborough, S. Knight, A. Martin, J. M. Murphy, C. Piani, D. Sexton, L. A. Smith, R. A. Spicer, A. J. Thorpe & M. R. Allen, Uncertainty in predictions of the climate response to rising levels of greenhouse gases, Nature, 433, pp. 403-406, January 2005.
  1. C. Piani, D. J. Frame, D. A. Stainforth, and M. R. Allen, Constraints on climate change from a multi-thousand member ensemble of simulations, Geophysical Review Letters, 32, December 2005.
  1. M. Collins and S. Knight (Eds.), Ensembles and probabilities: a new era in the prediction of climate change, Phil. Trans. R. Soc. A, Print: 1364-503X, Online: 1471-2962, 2007.
  1. C.G. Knight, S.H.E. Knight, N. Massey, T. Aina, C. Christensen, D.J. Frame, J.A. Kettleborough, A. Martin, S. Pascoe, B. Sanderson, D.A. Stainforth, M.R. Allen, Association of parameter, software and hardware variation with large scale behavior across 57,000 climate models, PNAS, July 2007.
  1. D. J. Frame, N. E. Faull, M. M. Joshi & M. R. Allen, Probabilistic climate forecasts and inductive problems, Philosophical Transactions of the Royal Society A, 2007.

Lattice

[20] Qian B, Raman S, Das R, Bradley P, McCoy? AJ, Read RJ, Baker D. High-resolution structure prediction and the crystallographic phase problem. Nature 450, 259-64 (2007).

[21] Wang C, Bradley P, Baker D. Protein-protein docking with backbone flexibility. J. Mol. Biol. 373, 503-19 (2007).

[22] Misura KM, Chivian D, Rohl CA, Kim DE, Baker D. Physically realistic homology models built with ROSETTA can be more accurate than their templates. Proc. Natl. Acad. Sci. U.S.A. 103, 5361-6 (2006).

Rosetta@home

  1. Rhiju Das, Madhuri Kudaravalli, Magdalena Jonikas, Alain Laederach, Robert Fong, Jason P. Schwans, David Baker, Joseph A. Piccirilli, Russ B. Altman, and Daniel Herschlag, Structural inference of native and partially folded RNA by high throughput contact mapping, PNAS, in press (2008).
  1. Das R, Qian B, Raman S, Vernon R, Thompson J, Bradley P, Khare S, Tyka MD, Bhat D, Chivian D, Kim DE, Sheffler WH, Malmström L, Wollacott AM, Wang C, Andre I, Baker D. Structure prediction for CASP7 targets using extensive all-atom refinement with Rosetta@home. Proteins 69 Suppl 8, 118-28 (2007).
  1. Das R, Baker D. Automated de novo prediction of native-like RNA tertiary structures. Proc. Natl. Acad. Sci. U.S.A. 104, 14664-9 (2007).
  1. Qian B, Raman S, Das R, Bradley P, McCoy? AJ, Read RJ, Baker D. High-resolution structure prediction and the crystallographic phase problem. Nature 450, 259-64 (2007).
  1. Wang C, Bradley P, Baker D. Protein-protein docking with backbone flexibility. J. Mol. Biol. 373, 503-19 (2007).
  1. Misura KM, Chivian D, Rohl CA, Kim DE, Baker D. Physically realistic homology models built with ROSETTA can be more accurate than their templates. Proc. Natl. Acad. Sci. U.S.A. 103, 5361-6 (2006).

SETI@home

  1. D.P. Anderson, J. Cobb, E. Korpela, M. Lebofsky, D. Werthimer. SETI@home: An Experiment in Public-Resource Computing. Communications of the ACM, Vol. 45 No. 11, November 2002, pp. 56-61.

World Community Grid

  1. Max W. Chang, William Lindstrom, Arthur J. Olson, and Richard K. Belew . Analysis of HIV Wild-Type and Mutant Structures via in Silico Docking against Diverse Ligand Libraries. J. Chem. Inf. Model., 47 (3), 1258 -1262, 2007.
  1. Lars Malmström, Michael Riffle, Charlie E. M. Strauss, Dylan Chivian, Trisha N. Davis, Richard Bonneau, David Baker. Superfamily Assignments for the Yeast Proteome through Integration of Structure Prediction with the Gene Ontology. PLoS Biol 5(4).