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22 Jan 2018 – Computing for Clean Water Results Inspire Further Study |
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An international team of researchers was inspired by the Computing for Clean Water project to do a series of further simulations, using a slightly different model and studying the diffusion of oxygen molecules as well as water molecules. Learn about their results, which validated the work done on World Community Grid, in this article. |
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03 Oct 2017 – Open Zika Researchers Continue Calculations, Share the Wealth, and Spread the Word |
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The OpenZika researchers are continuing to screen millions of chemical compounds as they look for potential treatments for the Zika virus. In this update, they report on the second stage of the project, using a newly prepared, massive library of 30.2 million compounds that are being screened against the Zika virus proteins. They also continue to spread the word about the project. |
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13 Feb 2017 – The Importance of Protein Social Behavior |
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Which proteins are most likely to interact with other proteins, and how might these interactions affect disease, and life itself? Results from data computed by World Community Grid are being used to help create a protein sociability index, which could help future advances in biology and medicine. |
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Research Paper
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08 Sep 2016 – Researchers Publish Findings on Potential New Treatments for Leishmaniasis |
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The Drug Search for Leishmaniasis team recently published their findings in the Journal of Computer-Aided Molecular Design. Using World Community Grid's computing power, they have identified several drug compounds which may lead to improved treatments for this neglected and sometimes deadly disease. |
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06 Jun 2016 – Help Fight Childhood Cancer Project Researchers Publish a Paper |
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The Help Fight Childhood Cancer project searched for a cure for a particular childhood cancer. The researchers have found that some of the promising compounds they identified also show an antidepressant capability. |
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15 Oct 2015 – The Clean Energy Project team explains: What is high-throughput virtual screening? |
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The Clean Energy Project team has just published some thoughts about the philosophy, practicalities and potential of high-throughput virtual screening. Because computers and software continue to evolve rapidly, other researchers who are interested in high-throughput screening should consider these general guidelines, rather than trying to meet specific technical parameters. |
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Research Paper
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14 Oct 2015 – Next-Level Screening: Predicting Material Properties |
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A new paper from the Clean Energy Project team reveals that they can now use multi-layer artificial neural networks to predict the electrical properties of novel molecules without actually simulating the entire molecule. This advance was made possible by the enormous number of simulations done for the Clean Energy Project, and promises to enable screening of many more molecules than the team was able to address in their previous work. |
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Research Paper
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05 Aug 2015 – Open science: sharing our clean water breakthrough data with all scientists |
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The Computing for Clean Water team is pleased to announce that the breakthrough paper we published online last month on the use of nanotechnology for more efficient water filtration will be available in the August print edition of Nature Nanotechnology. With our results published, we're now making the underlying data available to other interested scientists and discussing the attention our work has gotten, both from international experts in the field and from the world media. |
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Project Update
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06 Jul 2015 – Enhancing the potential for nanotechnology to improve access to clean water for millions |
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The Computing for Clean Water team has discovered how water can pass through tiny carbon nanotubes much more easily than previously predicted. This groundbreaking understanding of a fundamental physical process holds potential for improving access to clean water for millions through more efficient water filtration and desalination, as well as possible applications in clean energy and medicine. This discovery has been published in Nature Nanotechnology, the world's most prestigious nanotechnology journal. |
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