Publications by BOINC projects


Science research projects typically publish their results in scientific journals. Preliminary results are 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 (high-prestige journals include Nature, Science, and PNAS).

We encourage BOINC volunteers to support projects that make a major scientific contribution. Keep in mind that doing research and publishing papers may take several years, so newer projects will naturally have few or no publications.

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).

  1. James Murphy, David Sexton, David Barnett, Gareth Jones, Mark Webb, Matthew Collins & David Stainforth, Quantification of modelling uncertainties in a large ensemble of climate change simulations, Nature, 430, pp. 768-772, August 2004.
  2. 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.
  3. D. J. Frame, B. B. B. Booth, J. A. Kettleborough, D. A. Stainforth, J. M. Gregory, M. Collins, and M. R. Allen, Constraining climate forecasts: The role of prior assumptions, Geophysical Review Letters, 32, May 2005.
  4. 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.
  5. P. Pall, M.R. Allen, D.A. Stone, Testing the Clausius-Clapeyron constraint on changes in extreme precipitation under CO2 warming. Climate Dynamics, 23:4, pp. 351-363, August 2006.
  6. 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.
  7. 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.
  8. B. M. Sanderson, R. Knutti, T. Aina, C. M. Christensen, N. E. Faull, D. J. Frame, W. J. Ingram, C. Piani, D. A. Stainforth, D. A. Stone and M. R. Allen. Constraints on model response to greenhouse gas forcing and the role of sub-grid scale processes, Journal of Climate, in press, 2007.
  9. C. Piani, T. Aina, C. Christensen, D. Frame, N. Faull and M. Allen. Regional probabilistic climate forecasts from a multi-thousand, multi-model ensemble of simulations, Journal of Geophysical Research, accepted, 2007.
  10. 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.
  11. D. Ackerley, E. J. Highwood, and D. J. Frame, Quantifying the effects of perturbing the physics of an interactive sulfur scheme using an ensemble of GCMs on the platform, J. Geophys. Res., 114, D01203, January 2009.
  12. D.J. Frame, T. Aina, C.M. Christensen, N. E. Fall, S.H.E. Knight, C. Piani, S.M. Rosier, K. Yamazaki, Y. Yamazaki and M.R. Allen, The BBC climate change experiment: design of the coupled model ensemble, Philosophical Transactions of The Royal Society A, 367, pp.855-870, 2009.
  13. H. Fowler, D. Cooley, S. Sain and M. Thurston, Detecting change in UK extreme precipitation using results from the BBC climate change experiment, 2010, Extremes DOI 10.1007/s10687-010-0101-y.
  14. Pardeep Pall, Tolu Aina, Dáithí A. Stone, Peter A. Stott, Toru Nozawa, Arno G. J. Hilberts, Dag Lohmann, Myles R. Allen. Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000. Nature, Volume 470, 382–385 (17 February 2011).

[email protected]

  1. T. Estrada, R. Armen, and M. Taufer: Automatic Selection of Near-Native Protein-Ligand Conformations using a Hierarchical Clustering and Volunteer Computing. In Proceedings of the International Conference On Bioinformatics and Computational Biology (ACM-BCB), August 2010, Niagara Falls, NY, USA.

[email protected]

For the latest list of [email protected] scientific publications, please visit the official publications list.

  1. Online Report on the S3 Analysis:
  2. [email protected] search for periodic gravitational waves in LIGO S4 data. Abbott, B.P. et al. (the LIGO Scientific Collaboration); Phys. Rev. D 79, 022001 (2009) --,
  3. [email protected] search for periodic gravitational waves in early S5 LIGO data. Abbott, B.P. et al. (the LIGO Scientific Collaboration); Phys. Rev. D 80, 042003 (2009). --,
  4. Pulsar Discovery by Global Volunteer Computing. Knispel, B. et. al.; Science, Vol. 329. no. 5997, p. 1305 (2010) --,
  5. Arecibo PALFA Survey and [email protected]: Binary Pulsar Discovery by Volunteer Computing. B. Knispel et. al.; Astrophysical Journal Letters 732, p. L1 (2011). --,
  6. An Exploration of CUDA and CBEA for a Gravitational Wave Data-Analysis Application ([email protected]). Breitbart, J.; The Open Astronomy Journal, vol. 4, issue 1, pp. 154-161 (2011) --
  7. [email protected] all-sky search for periodic gravitational waves in LIGO S5 data. Aasi, J. et al. (the LIGO Scientific Collaboration); Phys. Rev. D, vol. 87, Issue 4, id. 042001 (2013) --,
  8. The [email protected] Search for Radio Pulsars and PSR J2007+2722 Discovery. Allen, B. et al.; The Astrophysical Journal, Volume 773, Issue 2, article id. 91, 32 pp. (2013) --,
  9. [email protected] Discovery of 24 Pulsars in the Parkes Multi-beam Pulsar Survey. Knispel, B. et al.; The Astrophysical Journal, Volume 774, Issue 2, article id. 93, 16 pp. (2013) --,
  10. [email protected] Discovery of Four Young Gamma-Ray Pulsars in Fermi LAT Data. Pletsch, H. J. et al.; The Astrophysical Journal Letters, Volume 779, Issue 1, article id. L11, 7 pp. (2013) --,
  11. Fully coherent follow-up of continuous gravitational-wave candidates: An application to [email protected] results. Shaltev, M. et al.; Phys. Rev. D, Volume 89, Issue 12, id.124030 (2014) --,
  12. [email protected] Discovery of a PALFA Millisecond Pulsar in an Eccentric Binary Orbit. Knispel, B. et al. The Astrophysical Journal, Volume 806, Issue 1, article id. 140, 9 pp. (2015). --
  13. PSR J1906+0722: An Elusive Gamma-Ray Pulsar: Clark, C.J. et al. The Astrophysical Journal Letters, Volume 809, Issue 1, article id. L2, 8 pp. (2015). --
  14. Results of the deepest all-sky survey for continuous gravitational waves on LIGO S6 data running on the [email protected] volunteer distributed computing project. Abbott, B.P. et al. (the LIGO Scientific Collaboration and the Virgo Collaboration); Phys. Rev. D 94, 102002 (2016) --,
  15. Results of an all-sky high-frequency [email protected] search for continuous gravitational waves in LIGO's fifth science run. Singh, A. et al.; Phys. Rev. D 94, 064061 (2016) --,
  16. An [email protected] search for continuous gravitational waves from Cassiopeia A. Zhu, S.J. et al.; Phys. Rev. D 94, 082008 (2016) --,
  17. [email protected] discovery of a Double-Neutron Star Binary in the PALFA Survey. Lazarus, P. et al.; The Astrophysical Journal, 831:150, 8pp (2016) --,
  18. Hierarchical follow-up of sub-threshold candidates of an all-sky [email protected] search for continuous gravitational waves on LIGO sixth science run data. Papa, M.A. et al.; Phys. Rev. D 94, 122006 (2016) Phys. Rev. D 94, 122006 (2016) --,
  19. Timing of 29 Pulsars Discovered in the PALFA Survey. Lyne, A.G. et al.; The Astrophysical Journal, 834:137, 14pp (2017) --,
  20. The Braking Index of a Radio-quiet Gamma-ray Pulsar. Clark, C.J. et al.; ApJL 832 L15 (2016) --,
  21. The [email protected] Gamma-ray Pulsar Survey. I. Search Methods, Sensitivity and Discovery of New Young Gamma-ray Pulsars. Clark, C.J. et al.; ApJ 834 106 (2017) --,
  22. Adaptive clustering procedure for continuous gravitational wave searches. Singh, A. et al.; Phys. Rev. D 96, 082003 (2017) --,
  23. A new veto for continuous gravitational wave searches. Zhu S.J./Papa, M.A./Walsh, S.; Phys. Rev. D 96, 124007 (2017) --,
  24. First low-frequency [email protected] all-sky search for continuous gravitational waves in Advanced LIGO data. Abbott, B.P. et al. (the LIGO Scientific Collaboration and the Virgo Collaboration); Phys. Rev. D 96, 122004 (2017) --,
  25. Optimally setting up directed searches for continuous gravitational waves in Advanced LIGO O1 data. Ming, J. et al.; Phys. Rev. D 97, 024051 (2018) --,
  26. [email protected] discovers a radio-quiet gamma-ray millisecond pulsar. Clark, C.J. et al.; Science Advances Vol. 4, no. 2, eaao7228 (2018) --,
  27. Results from an [email protected] search for continuous gravitational waves from Cassiopeia A, Vela Jr. and G347.3. Ming, J. et al.; Phys. Rev. D 100, 024063 (2019) --,
  28. Optimising the choice of analysis method for all-sky searches for continuous gravitational waves with [email protected] Walsh, S. et al.; Phys. Rev. D 99, 082004 (2019) --,
  29. Results from an [email protected] search for continuous gravitational waves from Cassiopeia A, Vela Jr. and G347.3. Ming, J. et al.; Phys. Rev. D 100, 024063 (2019) --,
  30. Exploiting orbital constraints from optical data to detect binary gamma-ray pulsars. Nieder, L. et al.; accepted by the Astrophysical Journal (2020) --
  31. Search for Continuous Gravitational Waves from the Central Compact Objects in Supernova Remnants Cassiopeia A, Vela Jr. and G347.3-0.5. Papa, M.A. et al.; accepted by the Astrophysical Journal (2020) --
  32. [email protected] Discovery of Gamma-ray Pulsations Confirms the Redback Nature of 3FGL J2039.6-5618. Clark, C.J. et al.; submitted to MNRAS (2020) --

All publications with pdfs are available at

  1. T. Giorgino and G. De Fabritiis, A high-throughput steered molecular dynamics study on the free energy profile of ion permeation through gramicidin A, in press J. Chem. Theory Comput. (2011).
  2. I. Buch, S. K. Sadiq and G. De Fabritiis, Optimized potential of mean force calculations of standard binding free energy, in press J. Chem. Theory Comput. (2011)
  3. Ignasi Buch, Toni Giorgino, and G. De Fabritiis, Complete reconstruction of an enzyme-inhibitor binding process by molecular dynamics simulations, PNAS 2011 ; published ahead of print June 6, 2011, doi:10.1073/pnas.1103547108
  4. I. Buch, M. J. Harvey, T. Giorgino, D. P. Anderson, and G. De Fabritiis. High-Throughput All-Atom Molecular Dynamics Simulations Using Distributed Computing. J. Chem. Inf. Model, March 2010.
  5. J. Selent, F. Sanz, M. Pastor and G. De Fabritiis, Induced Effects of Sodium Ions on Dopaminergic G-Protein Coupled Receptors, PLOS Computational Biology, 6, e1000884 (2010) pdf.
  6. K. Sadiq and G. De Fabritiis,Explicit solvent dynamics and energetics of HIV-1 protease flap-opening and closing, Proteins 78, 2873 (2010) pdf.
  7. G. Giupponi, M. Harvey and G. De Fabritiis, The impact of accelerator processors for high-throughput molecular modeling and simulation. Drug Discovery Today 13, 1052-8 (2008).
  8. G. De Fabritiis, P. Coveney and J. Villa-Freixa, Energetics of K+ permeability through Gramicidin A by forward-reverse steered molecular dynamics. Proteins 73, 185-94 (2008).
  9. M. Harvey, G. Giupponi, J. Villa-Freixa and G. De Fabritiis, PS3GRID.NET: Building a distributed supercomputer using the PlayStation 3. Distributed & Grid Computing - Science Made Transparent for Everyone. Principles, Applications and Supporting Communities (2007).
  10. PS3GRID.NET: A distributed computing environment for molecular simulations on the PlayStation 3. Presentation at the international symposium of biomedical informatics, 26-27 June Barcelona (2007).
  11. G. De Fabritiis, Performance of the Cell processor for biomolecular simulations. Comp. Phys. Commun. 176, 660 (2007).


  1. Varadan, R., Assfalg, M., Raasi, S., Pickart, C. & Fushman, D. Structural determinants for selective recognition of a Lys48-linked polyubiquitin chain by a UBA domain. Molecular Cell 18, 687-98 (2005).
  2. Grand, J., M. P. Cummings, A. G. Rebelo, T. H. Ricketts, and M. C. Neel. Biased data reduce efficiency and effectiveness of conservation reserve networks. Ecology Letters 10:364-374 (2007).
  3. Tishkoff, S. A., Gonder, M. K., Henn, B. M., Mortensen, H., Knight, A., Gignoux, C., Fernandopulle, N., Lema, G., Nyambo, T. B., Ramakrishnan, U., Reed, F. A. & Mountain, J. L. History of click-speaking populations of Africa inferred from mtDNA and Y chromosome genetic variation. Molecular Biology and Evolution 24:2180-2195 (2007).
  4. Pettengill, J. B., & M. C. Neel. 2008. Phylogenetic patterns and conservation among North American members of the genus Agalinis (Orobanchaceae). BMC Evolutionary Biology 8:264.
  5. Regier, J. C., Zwick, A., Cummings, M. P., Kawahara, A. Y., Cho, S., Weller, S. J., Roe, A. D., Baixeras-Almela, J., Brown, J. W., Parr, C. S., Davis, D. R., Epstein, M. E., Hallwachs, W., Hausmann, A., Janzen, D. H., Kitching, I. J., Solis, M. A., Yen, S.-H., Bazinet, A., & Mitter, C. Toward reconstructing the evolution of advanced moths and butterflies (Lepidoptera: Ditrysia): an initial molecular study. BMC Evolutionary Biology 9:280 (2009).
  6. Regier, J.C., Shultz, J. W., Zwick, A., Hussey, A., Ball, B., Wetzer, R., Martin J. W. & C.W. Cunningham C. W. Arthropod relationships revealed by phylogenomic analysis of nuclear protein-coding sequences. Nature 463:1079-1083 (2010).
  7. Reyna-Fabín, M., Laclette, J. P., Cummings, M. P., Sarma S. S. S., & García-Varela, M. Validating the systematic position of Plationus Segers, Murugan & Dumont, 1993 (Rotifera: Brachionidae) using sequences of the large subunit of the nuclear ribosomal DNA and of cytochrome c oxidase. Hydrobiologia 644:361-370 (2010).
  8. Regier, J.C., Zwick, A. Sources of Signal in 62 Protein-Coding Nuclear Genes for Higher-Level Phylogenetics of Arthropods. PLoS ONE 6(8): e23408. doi:10.1371/journal.pone.0023408 (2011).
  9. Zwick, A, Regier JC, Mitter C, Cummings MP. Increased gene sampling yields robust support for higher-level clades within Bombycoidea (Lepidoptera). Syst Entomol. 36:31–43 (2011).
  10. Kawahara, AY, Ohshima I, Kawakita A, Regier JC, Mitter C, Cummings MP, Davis DR, Wagner DL, De Prinis J, Lopez-Vaamonde C. Increased gene sampling provides stronger support for higher-level groups within gracillariid leaf mining moths and relatives (Lepidoptera: Gracillariidae). BMC Evol Biol. 11:182 (2011).
  11. Cho, S, Zwick A, Regier JC, Mitter C, Cummings MP, Yao J, Du Z, Zhao H, Kawahara AY, Weller S et al. Can deliberately incomplete gene sample augmentation improve a phylogeny estimate for the advanced moths and butterflies (Hexapoda: Lepidoptera)? Systematic Biology. 60:(6):782 - 796.
  12. Regier, JC, Mitter C, Zwick A, Bazinet AL, Cummings MP, Kawahara AY, Sohn J-C, Zwickl DJ, Cho S, Davis DR et al. 2013. A Large-Scale, Higher-Level, Molecular Phylogenetic Study of the Insect Order Lepidoptera (Moths and Butterflies). PLoS ONE. 8:(3):e58568.
  13. Bazinet, AL, Cummings MP, Mitter KT, Mitter CW. 2013. Can RNA-Seq Resolve the Rapid Radiation of Advanced Moths and Butterflies (Hexapoda: Lepidoptera: Apoditrysia)? An Exploratory Study PLoS ONE. 8:(12):e82615.
  14. Adam L. Bazinet and Michael P. Cummings. 2015. Subdividing long-running, variable-length analyses into short, fixed-length BOINC workunits. Journal of Grid Computing, 10.1007/s10723-015-9348-5.

[email protected]

  1. Herr, Werner; Kaltchev, D.I.; McIntosh, E.; Schmidt, F. Large scale beam-beam simulations for the CERN LHC using distributed computing resources. 10th European Particle Accelerator Conference, Edinburgh, UK, 26 - 30 Jun 2006, pp.526
  1. McIntosh, E; Schmidt, F; de Dinechin, F. Massive Tracking On Heterogeneous Platforms. 9th International Computational Accelerator Physics Conference (ICAP), October 2006

  1. Penny MA, Maire N, Studer A, Schapira A, Smith TA. What Should Vaccine Developers Ask? Simulation of the Effectiveness of Malaria Vaccines. PLoS ONE 3(9): e3193. doi:10.1371/journal.pone.0003193 (2008)
  2. Ross A, Penny M, Maire N, Studer A, Carneiro I, Schellenberg D, Greenwood B, Tanner M, Smith T. Modelling the Epidemiological Impact of Intermittent Preventive Treatment against Malaria in Infants. PLoS ONE 3(7): e2661 doi:10.1371/journal.pone.0002661. (2008)
  3. Smith T, Maire N, Ross A, Penny M, Chitnis N, Schapira A, Studer A, Genton B, Lengeler C, Tediosi F, de Savigny D, Tanner M. Towards a comprehensive simulation model of malaria epidemiology and control. Parasitology (13):1507-16. (2008)
  4. Gosoniu L, Vounatsou P, Sogoba N, Maire N, Smith T. Mapping malaria risk in West Africa using a Bayesian nonparametric non-stationary model. Computational Statistics and Data Analysis 53: 3358-3371. (2009)
  5. Tediosi F, Maire N, Penny MA, Studer A, Smith TA. Simulation of the cost-effectiveness of malaria vaccines. Malaria Journal 8:127 doi:10.1186/1475-2875-8-127 (2009)
  6. Chitnis N, Schapira A, Smith T, Steketee R. Comparing the effectiveness of malaria vector-control interventions through a mathematical model. Am J Trop Med Hyg. 83(2) (2010)
  7. Ross A, Smith TA. Interpreting malaria age-prevalence and incidence curves: a simulation study of the effects of different types of heterogeneity. Malaria Journal 8:127 doi:10.1186/1475-2875-9-132 (2010)
  8. Carneiro I, Smith L, Ross A, Roca-Feltrer A, Greenwood B, Schellenberg JA, Smith TA, Schellenberg D. Intermittent preventive treatment for malaria in infants: a decision-support tool for sub-Saharan Africa. Bulletin of the World Health Organization 2010;88:807-814. doi: 10.2471/BLT.09.072397 (2010)
  9. Smith TA, Chitnis N, Briët OJ, Tanner M. Uses of mosquito-stage transmission-blocking vaccines against Plasmodium falciparum. Trends Parasitol. 2011 Jan 27. [Epub ahead of print]
  10. Ross A, Maire N, Sicuri E, Smith T, Conteh L. Determinants of the Cost-Effectiveness of Intermittent Preventive Treatment for Malaria in Infants and Children. PLoS ONE 6(4): e18391. doi:10.1371/journal.pone.0018391 (2011)
  11. Bretscher MT, Maire N, Chitnis N, Felger I, Owusu-Agyei S, Smith T. The distribution of Plasmodium falciparum infection durations. Epidemics 3, 109-118 (2011)
  12. Maire N, Shilcutt SD, Walker DG, Tediosi F, Smith TA. Cost-Effectiveness of the Introduction of a Pre-Erythrocytic Malaria Vaccine into the Expanded Program on Immunization in Sub-Saharan Africa: Analysis of Uncertainties Using a Stochastic Individual-Based Simulation Model of Plasmodium falciparum Malaria. Value in Health 14:1028–1038 (2012)
  13. Crowell V, Hardy D, Briet O, Chitnis N, Maire N, Smith T, Can we depend on case management to prevent re-establishment of P. falciparum malaria, after local interruption of transmission?. Epidemics 4, 1–8 (2012)
  14. Smith T , Ross A , Maire N , Chitnis N , Studer A , et al. Ensemble Modeling of the Likely Public Health Impact of a Pre-Erythrocytic Malaria Vaccine. PLoS Med 9(1): e1001157. doi:10.1371/journal.pmed.1001157
  15. Briet OJT, Hardy D, Smith TA Importance of factors determining the effective lifetime of a mass, long-lasting, insecticidal net distribution: a sensitivity analysis. Malaria Journal 11:20 doi:10.1186/1475-2875-11-20 (2012)
  16. Brooks A, Briet OJT, Hardy D, Steketee R, Smith T. Simulated Impact of RTS,S/AS01 Vaccination Programs in the Context of Changing Malaria Transmission. PLoS ONE 7(3): e32587. doi:10.1371/journal.pone.0032587 (2012)
  17. Stuckey EM, Stevenson JC, Cooke MK, Owaga C, Marube E, Oando G, Hardy D, Drakeley C, Smith TA, Cox J, Chitnis N. Simulation of malaria epidemiology and control in the highlands of western Kenya. Malaria Journal 11:357 doi:10.1186/1475-2875-11-357 (2012)
  18. Briët OJT, Chitnis N. Effects of changing mosquito host searching behaviour on the cost effectiveness of a mass distribution of long-lasting, insecticidal nets: a modelling study. Malaria Journal 12:215 doi:10.1186/1475-2875-12-215 (2013)
  19. Briet OJ, Penny MA, Hardy D, Awolola TS, Van BW, Corbel V et al. Effects of pyrethroid resistance on the cost effectiveness of a mass distribution of long-lasting insecticidal nets: a modelling study. Malaria Journal 12:77 doi:10.1186/1475-2875-12-77 (2013)
  20. Crowell V, Briët OJ, Hardy D, Chitnis N, Maire N, Di PA, Smith TA. Modelling the cost-effectiveness of mass screening and treatment for reducing Plasmodium falciparum malaria burden. Malaria Journal 12:4 doi: 10.1186/1475-2875-12-4.4-12 (2013)
  21. Briet OJ, Penny MA. Repeated mass distributions and continuous distribution of long-lasting insecticidal nets: modelling sustainability of health benefits from mosquito nets, depending on case management. Malaria Journal 12:401 doi:10.1186/1475-2875-12-401 (2013)
  22. Stuckey EM, Smith TA, Chitnis N. Estimating malaria transmission through mathematical models. Trends Parasitol 29(10):477-82 (2013)
  23. Nunes JK, Vicky Cárdenas V, Loucq C, Maire N, Smith T, Shaffer C, Måseide K, Brooks A. Modeling the public health impact of malaria vaccines for developers and policymakers. BMC Infect Dis 13:295 doi:10.1186/1471-2334-13-295 (2013)
  24. Stuckey EM, Smith T, Chitnis N. Seasonally Dependent Relationships between Indicators of Malaria Transmission and Disease Provided by Mathematical Model Simulations. PLoS Comput Biol;10(9), 2014.
  25. Stuckey EM, Stevenson J, Galactionova K, Baidjoe AY, Bousema T, Odongo W et al. Modeling the cost effectiveness of malaria control interventions in the highlands of Western Kenya. PLoS ONE 2014;9(10):e107700.
  26. Cameron E, Battle KE, Bhatt S, Weiss DJ, Bisanzio D, Mappin B, Dalrymple U, Hay SI, Smith DL, Griffin JT, Wenger EA, Eckhoff PA, Smith TA, Penny MA, Gething PW Defining the relationship between infection prevalence and clinical incidence of Plasmodium falciparum malaria. Nat Commun 2015; 6, 8170-. DOI: 10.1038/ncomms9170
  27. Pemberton-Ross P, Smith TA, Hodel EM, Kay K, Penny MA Age-shifting in malaria incidence as a result of induced immunological deficit: a simulation study. Malar J 2015; 14, 287-. DOI: 10.1186/s12936-015-0805-1
  28. Penny MA, Galactionova K, Tarantino M, Tanner M, Smith TA The public health impact of malaria vaccine RTS,S in malaria endemic Africa: country-specific predictions using 18 month follow-up Phase III data and simulation models. BMC Med 2015; 13, 170-.
  29. Penny MA, Maire N, Bever CA, Pemberton-Ross P, Briët OJT, Smith DL, Gething PW, Smith TA Distribution of malaria exposure in endemic countries in Africa considering country levels of effective treatment. Malar J 14, 384-. DOI: 10.1186/s12936-015-0864-3
  30. Penny MA, Verity R, Bever C, Sauboin C, Galactionova K, Flasche S, White MT, Wenger EA, Van de Velde N, Pemberton-Ross P., Griffin JT, Smith TA, Eckhoff PA, Muhib F, Jit M, Ghani AC. The public health impact and cost-effectiveness of malaria vaccine RTS,S/AS01: a systematic comparison of predictions and four mathematical models. Lancet

[email protected]

  1. Travis Desell, David P. Anderson, Malik Magdon-Ismail, Heidi Newberg, Boleslaw Szymanski and Carlos A. Varela. An Analysis of Massively Distributed Evolutionary Algorithms. In the Proceedings of the 2010 IEEE Congress on Evolutionary Computation (IEEE CEC 2010), Barcelona, Spain, July 2010. To Appear.
  2. Travis Desell, Malik Magdon-Ismail, Boleslaw Szymanski, Carlos A. Varela, Heidi Newberg and David P. Anderson. Validating Evolutionary Algorithms on Volunteer Computing Grids. In the Proceedings of the 10th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS 2010), Amsterdam, Netherlands, June 2010. To Appear.
  3. Nathan Cole, Travis Desell, Daniel Lombranaa Gonzalez, Francisco Fernandez de Vega, Malik Magdon-Ismail, Heidi Newberg, Boleslaw Szymanski and Carlos Varela. Evolutionary Algorithms on Volunteer Computing Platforms: The [email protected] Project. In F. Fernandez de Vega, E. Cantu-Paz (Eds.): Parallel and Distributed Computational Intelligence, SCI 269, pp 63-90. Springer-Verlag Berlin Heidelberg. 2010
  4. Travis Desell. Asynchronous Global Optimization for Massive-Scale Computing. PhD thesis. Rensselaer Polytechnic Institute. 2009
  5. Travis Desell, Malik Magdon-Ismail, Boleslaw Szymanski, Carlos Varela, Heidi Newberg and Nathan Cole. Robust Asynchronous Optimization for Volunteer Computing Grids. In the 5th IEEE International Conference on e-Science (eScience2009), Oxford, UK, pages 263-270, December 2009.
  6. Travis Desell, Anthony Waters, Malik Magdon-Ismail, Boleslaw Szymanski, Carlos Varela, Matthew Newby, Heidi Newberg, Andreas Przystawik and Dave Anderson. Accelerating the [email protected] volunteer computing project with GPUs. In 8th International Conference on Parallel Processing and Applied Mathematics (PPAM 2009), Wroclaw, Poland, September 2009. To appear.
  7. Nathan Cole. Maximum Likelihood Fitting of Tidal Streams with Application to the Sagittarius Dwarf Tidal Tails. PhD thesis. Rensselaer Polytechnic Institute. 2009.
  8. Nathan Cole, Heidi Newberg, Malik Magdon-Ismail, Travis Desell, Kristopher Dawsey, Warren Hayashi, Jonathan Purnell, Boleslaw Szymanski, Carlos A. Varela, Benjamin Willett, and James Wisniewski. Maximum Likelihood Fitting of Tidal Streams with Application to the Sagittarius Dwarf Tidal Tails. Astrophysical Journal, 683:750-766, 2008.
  9. Travis Desell, Boleslaw Szymanski, and Carlos A. Varela. An Asynchronous Hybrid Genetic-Simplex Search for Modeling the Milky Way Galaxy using Volunteer Computing. In Genetic and Evolutionary Computation Conference (GECCO 2008), Atlanta, Georgia, pages 921-928, July 2008.
  10. Travis Desell, Boleslaw Szymanski, and Carlos A. Varela. Asynchronous Genetic Search for Scientific Modeling on Large-Scale Heterogeneous Environments. In Proceedings of the 17th International Heterogeneity in Computing Workshop (HCW/IPDPS'08), Miami, FL, pages 12pp, April 2008. IEEE.
  11. Boleslaw Szymanski, Travis Desell, and Carlos A. Varela. The Effect of Heterogeneity on Asynchronous Panmictic Genetic Search. In Proc. of the Seventh International Conference on Parallel Processing and Applied Mathematics (PPAM'2007), LNCS, Gdansk, Poland, September 2007.
  12. Travis Desell, Nathan Cole, Malik Magdon-Ismail, Heidi Newberg, Boleslaw Szymanski, and Carlos A. Varela. Distributed and Generic Maximum Likelihood Evaluation. In 3rd IEEE International Conference on e-Science and Grid Computing (eScience2007), Bangalore, India, pages 337-344, December 2007. Best paper finalist.


  1. Meliciani I, Klenin K, Strunk T, Schmitz K, Wenzel W. (2009) Probing hot spots on protein-protein interfaces with all-atom free-energy simulation. J Chem Phys. 131, 034114.

[email protected]

  1. Korth, M., Lüchow, A., and Grimme, S. Toward the Exact Solution of the Electronic Schrödinger Equation for Noncovalent Molecular Interactions: Worldwide Distributed Quantum Monte Carlo Calculations, J. Phys. Chem. A, 112 (10), 2104 -2109.

Quake Catcher Network

  1. Elizabeth S. Cochran, Jesse F. Lawrence, Carl Christensen, and Ravi S. Jakka. The Quake-Catcher Network: Citizen Science Expanding Seismic Horizons. Seismological Research Letters, Jan/Feb 2009.
  2. AI Chung, C Neighbors, A Belmonte, M Miller, HH Sepulveda. The Quake-catcher network rapid aftershock mobilization program following the 2010 m 8.8 maule, chile earthquake. Seismological Research Letters 82 (4), 526-532. 2011
  3. ES Cochran, JF Lawrence, A Kaiser, B Fry, A Chung, C Christensen. Comparison between low-cost and traditional MEMS accelerometers: a case study from the M7. 1 Darfield, New Zealand, aftershock deployment. Annals of Geophysics 54 (6). 2012
  4. AI Chung, ES Cochran, C Christensen, AE Kaiser, JF Lawrence. Results from the Quake-Catcher Network Rapid Aftershock Mobilization Project (QCN-RAMP) in Christchurch, New Zealand and Advances in QCN Rapid Earthquake Detections. EGU General Assembly Conference Abstracts 14, 2182
  5. JF Lawrence, ES Cochran, A Chung, A Kaiser, CM Christensen, R Allen. Rapid Earthquake Characterization Using MEMS Accelerometers and Volunteer Hosts Following the M 7.2 Darfield, New Zealand, Earthquake. Bulletin of the Seismological Society of America 104 (1), 184-192
  6. C Neighbors, EJ Liao, ES Cochran, GJ Funning, AI Chung, JF Lawrence, .... Investigation of the high-frequency attenuation parameter, κ (kappa), from aftershocks of the 2010 Mw 8.8 Maule, Chile earthquake. Geophysical Journal International 200 (1), 200-215

[email protected]

  1. Windbichler N, Menichelli M, Papathanos PA, Thyme SB, Li H, Ulge UY, Hovde BT, Baker D, Monnat RJ Jr, Burt A, Crisanti A. A synthetic homing endonuclease-based gene drive system in the human malaria mosquito. Nature 12;473(7346):212-5 (2011).
  2. Fleishman SJ, Whitehead TA, Ekiert DC, Dreyfus C, Corn JE, Strauch EM, Wilson IA, Baker D. Computational design of proteins targeting the conserved stem region of influenza hemagglutinin. Science 13;332(6031):816-21 (2011).
  3. Karanicolas J, Corn JE, Chen I, Joachimiak LA, Dym O, Peck SH, Albeck S, Unger T, Hu W, Liu G, Delbecq S, T Montelione G, P Spiegel C, Liu DR, Baker D. A de novo protein binding pair by computational design and directed evolution. Mol Cell 42(2):250-60 (2011).
  4. Siegel JB, Zanghellini A, Lovick HM, Kiss G, Lambert AR, St Clair JL, Gallaher JL, Hilvert D, Gelb MH, Stoddard BL, Houk KN, Michael FE, Baker D. Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction. Science 329(5989):309-13 (2010).
  5. Weerapana E, Wang C, Simon GM, Richter F, Khare S, Dillon MB, Bachovchin DA, Mowen K, Baker D, Cravatt BF. Quantitative reactivity profiling predicts functional cysteines in proteomes. Nature 468(7325):790-5 (2010).
  6. Srivatsan Raman, Oliver F. Lange, Paolo Rossi, Michael Tyka, Xu Wang, James Aramini, Gaohua Liu, Theresa A. Ramelot, Alexander Eletsky, Thomas Szyperski, Michael A. Kennedy, James Prestegard, Gaetano T. Montelione, David Baker. NMR Structure Determination for Larger Proteins Using Backbone-Only Data. Science 327, 1014-18 (2010).
  7. Shen Y, Vernon R, Baker D, Bax A. De novo protein structure generation from incomplete chemical shift assignments. J. Biomol. NMR 43, 63-78 (2009).
  8. Das R, Baker D. Prospects for de novo phasing with de novo protein models. Acta Crystallogr. D Biol. Crystallogr. 65, 169-75 (2009).
  9. Das R, André I, Shen Y, Wu Y, Lemak A, Bansal S, Arrowsmith CH, Szyperski T, Baker D. Simultaneous prediction of protein folding and docking at high resolution. Proc. Natl. Acad. Sci. U.S.A. 106, 18978–83 (2009).
  10. Kidd BA, Baker D, Thomas WE. Computation of conformational coupling in allosteric proteins. PLoS Comput. Biol. 5, e1000484 (2009).
  11. Shen Y, Lange O, Delaglio F, Rossi P, Aramini JM, Liu G, Eletsky A, Wu Y, Singarapu KK, Lemak A, Ignatchenko A, Arrowsmith CH, Szyperski T, Montelione GT, Baker D, Bax A. Consistent blind protein structure generation from NMR chemical shift data. Proc. Natl. Acad. Sci. U.S.A. 105, 4685-90 (2008).
  12. 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. Proc. Natl. Acad. Sci. U.S.A. 105, 4144-9 (2008).
  13. 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).
  14. Wang C, Bradley P, Baker D. Protein-protein docking with backbone flexibility. J. Mol. Biol. 373, 503-19 (2007).
  15. 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 [email protected]. Proteins 69 Suppl 8, 118-28 (2007).
  16. 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).
  17. 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).

[email protected]

  1. Alexander Semenov and Oleg Zaikin. On estimating total time to solve SAT in distributed computing environments: Application to the [email protected] project. arXiv:1308.0761 [cs.AI]
  2. Alexander Semenov, Oleg Zaikin and Ilya Otpuschennikov. Using Volunteer Computing for Mounting SAT-based Cryptographic Attacks. arXiv:1411.5433 [cs.DC]
  3. Posypkin, Mikhail and Semenov, Alexander and Zaikin, Oleg (2012) Using BOINC desktop grid to solve large scale SAT problems. Computer Science, 13 (1). pp. 25-34. ISSN 1508-2806

[email protected]

  1. David P. Anderson, Jeff Cobb, Eric Korpela, Matt Lebofsky, Dan Werthimer. [email protected]: An Experiment in Public-Resource Computing. Communications of the ACM, Vol. 45 No. 11, November 2002, pp. 56-61.


  1. Rattei T, Tischler P, Arnold R, Hamberger F, Krebs J, Krumsiek J, Wachinger B, Stümpflen V, Mewes W. SIMAP--structuring the network of protein similarities. Nucleic Acids Res. 2008 Jan;36(Database issue):D289-92. Epub 2007 Nov 23.
  2. Rattei T, Arnold R, Tischler P, Lindner D, Stümpflen V, Mewes HW. SIMAP: the similarity matrix of proteins. Nucleic Acids Res. 2006 Jan 1;34(Database issue):D252-6.
  3. Arnold R, Rattei T, Tischler P, Truong MD, Stümpflen V, Mewes W. SIMAP--the similarity matrix of proteins. Bioinformatics. 2005 Sep 1;21 Suppl 2:ii42-6.

[email protected]

  1. Christian Schröder, Ruslan Prozorov, Paul Kögerler, Matthew D. Vannette, Xikui Fang, Marshall Luban, Akira Matsuo, Koichi Kindo, Achim Müller, Ana Maria Todea, Multiple nearest-neighbor exchange model for the frustrated Keplerate magnetic molecules Mo72Fe30 and Mo72Cr30. submitted to Phys. Rev. B (2008), e-Print archiv, Jan 2008


  1. Robert E Manning & Steven H. Collicott, Bubble Penetration Through a Single Layer Sphere Bed. 45th AIAA Aerospace Sciences Meeting and Exhibit, January 2006.
  2. Robert E. Manning Jr, Gas Bubble Stability in a Sphere Layer, Master Thesis - July 2006.
  3. Jonathan P. Braun, Zero Gravity Two-Phase Stability Solutions of Droplets in a bent circular cylinder, Master Thesis - 2008.

Virtual Prairie

  1. C. Monya, M. Garbeyb, M. Smaouib, M.-L. Benota. Large scale parameter study of an individual-based model of clonal plant with volunteer computing. Ecological Modelling 222 (2011) 935–946.

World Community Grid

Since 2004, World Community Grid has powered over 25 research projects in critical areas such as cancer, AIDS, tuberculosis, Zika virus, genetic mapping, the human microbiome, sustainable energy, clean water, and ecosystem preservation. This research is made possible by more than 750,000 individual volunteers and 440 institutions from 80 countries who donate unused computing power from their desktops, laptops, and Android devices. Collectively, these volunteers have donated more than 1.6 million years of computing time, with an estimated value of $400 million, to accelerating scientific discovery.

Research Paper Publications

Researchers have published more than 50 peer-reviewed papers in prominent scientific journals including Nature, PLOS and Cell, as a direct result of their work on World Community Grid. These include:

GO Fight Against Malaria

  1. Alexander L. Perryman, Weixuan Yu, Xin Wang, Sean Ekins, Stefano Forli, Shao-Gang Li, Joel S. Freundlich, Peter J. Tonge, and Arthur J. Olson. A Virtual Screen Discovers Novel, Fragment-Sized Inhibitors of Mycobacterium tuberculosis InhA. J. Chem. Inf. Model., 2015, 55 (3), pp 645–659.

Computing for Clean Water

  1. Ming Ma, François Grey, Luming Shen, Michael Urbakh, Shuai Wu, Jefferson Zhe Liu, Yilun Liu & Quanshui Zheng. Water transport inside carbon nanotubes mediated by phonon-induced oscillating friction. Nature Nanotechnology 10, 692–695 (2015).
  2. Ming Ma, François Grey, Luming Shen, Michael Urbakh, Shuai Wu, Jefferson Zhe Liu, Yilun Liu & Quanshui Zheng. Reply to ‘On phonons and water flow enhancement in carbon nanotubes’. Nature Nanotechnology 12, 1108 (2017).

Discovering Dengue Drugs - Together

  1. Viswanathan U, Tomlinson SM, Fonner JM, Mock SA, Watowich SJ. Identification of a novel inhibitor of dengue virus protease through use of a virtual screening drug discovery Web portal. J Chem Inf Model. 2014 Oct 27;54(10):2816-25. doi: 10.1021/ci500531r. Epub 2014 Oct 10.

[email protected]

  1. Perryman AL, Forli S, Morris GM, Burt C, Cheng Y, Palmer MJ, Whitby K, McCammon JA, Phillips C, Olson AJ. A dynamic model of HIV integrase inhibition and drug resistance. J Mol Biol. 2010 Mar 26;397(2):600-15. Epub 2010 Jan 22.
  2. Alexander L. Perryman, Qing Zhang, Holly H. Soutter, Robin Rosenfeld, Duncan E. McRee, Arthur J. Olson, John E. Elder and C. David Stout. Fragment-Based Screen against HIV Protease Chemical Biology & Drug Design, Volume 75, Issue 3, March 2010, Pages 257–268.
  3. 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., 2007, 47 (3), pp 1258–1262.
  4. Junchao Xia, William Flynn, Emilio Gallicchio, Keith Uplinger, Jonathan D. Armstrong, Stefano Forli, Arthur J. Olson and Ronald M. Levy. Massive-Scale Binding Free Energy Simulations of HIV Integrase Complexes Using Asynchronous Replica Exchange Framework Implemented on the IBM WCG Distributed Network J. Chem. Inf. Model., Article ASAP, February 13, 2019.

[email protected] - Phase 2

  1. Junchao Xia, William Flynn, Emilio Gallicchio, Keith Uplinger, Jonathan D. Armstrong, Stefano Forli, Arthur J. Olson, Ronald M. Levy. Massive-Scale Binding Free Energy Simulations of HIV Integrase Complexes Using Asynchronous Replica Exchange Framework Implemented on the IBM WCG Distributed Network. J. Chem. Inf. Model. 594:1382-1397 (2019)

Help Cure Muscular Dystrophy

  1. Nathalie Lagarde, Alessandra Carbone, Sophie Sacquin‐Mora. Hidden partners: Using cross‐docking calculations to predict binding sites for proteins with multiple interactions. Proteins. 86: 7: 723-737 (July 2018)
  2. Chloé Dequeker, Elodie Laine, Alessandra Carbone. Decrypting protein surfaces by combining evolution, geometry, and molecular docking. Proteins. Online version before inclusion in an issue (July 2019)

Help Fight Childhood Cancer

  1. Yohko Nakamura, Akiko Suganami, Mayu Fukuda, Md. Kamrul Hasan, Tomoki Yokochi, Atsushi Takatori, Shunpei Satoh, Tyuji Hoshino, Yutaka Tamura, and Akira Nakagawara. Identification of novel candidate compounds targeting TrkB to induce apoptosis in neuroblastoma. Cancer Medicine, Volume 3, Issue 1, February 2014, Pages 25–35.

Help Conquer Cancer

  1. Christian A. Cumbaa, Igor Jurisica. Protein crystallization analysis on the World Community Grid. Journal of Structural and Functional Genomics, March 2010, Volume 11, Issue 1, pp 61–69.

Help Defeat Cancer

  1. Foran DJ, Yang L, Chen W, Hu J, Goodell LA, Reiss M, Wang F, Kurc T, Pan T, Sharma A, Saltz JH. ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology. J Am Med Inform Assoc., 2011 Jul-Aug;18(4):403-15, Epub 2011 May 23.
  2. Patrick Widener, Wenjin Chen, Fusheng Wang, Lin Yang, Jun Hu, Vicky Chu, Joel H. Saltz, David J. Foran, and Tahsin Kurc. Grid-Enabled, High-performance Microscopy Image Analysis. The 2nd International Workshop on High-Performance Medical Image Computing for Image-Assisted Clinical Intervention and Decision-Making, Bejing, China, HP-MICCAI 2010 International Workshop, Pages 70-79, 2010.
  3. Robert S. DiPaola, Dmitri Dvorzhinski, Anu Thalasila, Venkata Garikapaty, Donyell Doram, Michael May, K. Bray, Robin Mathew, Brian Beaudoin, C. Karp, Mark Stein, David J. Foran and Eileen White. Therapeutic Starvation and Autophagy in Prostate Cancer: A New Paradigm for Targeting Metabolism in Cancer Therapy The Prostate, Volume 68, Issue 16, 1 December 2008, Pages 1743–1752.

Human Proteome Folding

  1. Alexander G. Baltz, Mathias Munschauer, Björn Schwanhäusser, Alexandra Vasile, Yasuhiro Murakawa, Markus Schueler, Noah Youngs, Duncan Penfold-Brown, Kevin Drew, Miha Milek, Emanuel Wyler, Richard Bonneau, Matthias Selbach, Christoph Dieterich, Markus Landthaler. The mRNA-Bound Proteome and Its Global Occupancy Profile on Protein-Coding Transcripts. Molecular Cell, Volume 46, Issue 5, p674–690, 8 June 2012.
  2. Boxem, Mike; Maliga, Zoltan; Klitgord, Niels; Li, Na; Lemmens, Irma; Mana, Miyeko; de Lichtervelde, Lorenzo; Mul, Joram D.; van de Peut, Diederik; Devos, Maxime; Simonis, Nicolas; Yildirim, Muhammed A.; Cokol, Murat; Kao, Huey-Ling; de Smet, Anne-Sophie; Wang, Haidong; Schlaitz, Anne-Lore; Hao, Tong; Milstein, Stuart; Fan, Changyu; Tipsword, Mike; Drew, Kevin; Galli, Matilde; Rhrissorrakrai, Kahn; Drechsel, David; Koller, Daphne; Roth, Frederick P.; Iakoucheva, Lilia M.; Dunker, A. Keith; Bonneau, Richard; Gunsalus, Kristin C.; Hill, David E.; Piano, Fabio; Tavernier, Jan; van den Heuvel, Sander; Hyman, Anthony A.; Vidal, Marc A Protein Domain-Based Interactome Network for C. elegans Early Embryogenesis. Cell, doi:10.1016/j.cell.2008.07.009 (volume 134 issue 3 pp.534 - 545).


  1. Helen W. Hernandez, Melinda Soeung, Kimberley M. Zorn, Norah Ashoura, Melina Mottin, Carolina Horta Andrade, Conor R. Caffrey, Jair Lage de Siqueira-Neto, Sean Ekins. High Throughput and Computational Repurposing for Neglected Diseases. Pharmaceutical Research 36: 27. (2019)
  2. Melina Mottin, Joyce Villa Verde Bastos Borba, Cleber Camilo Melo-Filho, Bruno Junior Neves, Eugene Muratov, Pedro Henrique Monteiro Torres, Rodolpho Campos Braga, Alexander Perryman, Sean Ekins, Carolina Horta Andrade. Computational drug discovery for the Zika virus. Braz. J. Pharm. Sci.: 54 (Special). (2018).
  3. Melina Mottin, Joyce V.V.B. Borba, Rodolpho C. Braga, Pedro H.M. Torres, Matheus C. Martini, Jose Luiz Proenca-Modena, Carla C.Judice, Fabio T.M. Costa, Sean Ekins, Carolina Horta Andrade. The A-Z of Zika Drug Discovery. Drug Discovery Today Volume 23, Issue 11, 1833-1847. (November 2018)

For a full list of World Community Grid paper publications click here.

[email protected]

[email protected]

  1. Laurence Loewe, Asher D Cutter, On the potential for extinction by Muller's Ratchet in Caenorhabditis elegans, BMC Evolutionary Biology 8:125.