World Community Grid

As of January 8, 2023, World Community Grid had over 23,000 active user accounts, with over 57,000 active devices.[2] Over the course of the project, more than 2,000,000 cumulative years of computing time have been donated, and over 6 billion work units have been completed.[20]

The picture shows particular two CPU usage history (under Hyper-threading) when BOINC client software is processing two tasks on each CPU under Microsoft Windows XP SP2. CPU usage history indicates almost 0% to 100% swing with peak to peak of 3 seconds interval, when view +update speed set to high, at first half recording period. The rest of half period of history is set to update speed normal, and upper CPU usage history indicates slightly more than 60% and lower CPU usage history show 35% approx. in average.

The World Community Grid software increases CPU usage by consuming unused processing time; in the late 1990s and early 2000s, such calculations were meant to reduce "wasted" CPU cycles.[28] With modern CPUs, where dynamic frequency scaling is prevalent, increased usage makes the processor run at higher frequency,[29] increasing power usage and heating counter to power management. Additionally, because of an increasing focus on power performance,[30] or performance per watt, connecting old/inefficient computers to the grid will increase the total/average power required to complete the same calculations.

The BOINC client avoids slowing the computer by using a variety of limits that suspend computation when there are insufficient free resources. Unlike other BOINC projects, World Community Grid set the BOINC defaults conservatively, making the chances of computer damage extremely small. The default CPU throttle is 60%. The throttle is coarse-grained; for example, if usage is set to 60% it will work at 100% for 3 seconds, then at 0% for 2 seconds, resulting in an average decrease of processor use.[31]

An add-on program for Windows computers – TThrottle – can solve the problem of overheating by directly limiting the BOINC project's use of the host computer. It does this by measuring the CPU and/or the GPU temperature and adjusts the run time accordingly. It also uses a shorter switching time of less than one second, resulting in less temperature change during switching.

On April 1, 2020, IBM announced OpenPandemics - COVID-19. The project aims to identify possible treatments for the Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is responsible for the COVID-19 pandemic. WCG will partner with Scripps Research, with whom it has partnered in the past, notably in FightAIDS@Home projects. The project runs on CPUs and GPUs and will also serve to create a "fast-response, open source tool that will help all scientists quickly search for treatments for future pandemics."[6][59][60][61]

The project launched on May 14, 2020.[62]

Mapping Cancer Markers (launched November 8, 2013). The project aims to identify the markers associated with various types of cancer, and is analyzing millions of data points collected from thousands of healthy and cancerous patient tissue samples. These include tissues with lung, ovarian, prostate, pancreatic and breast cancers. By comparing these different data points, researchers aim to identify patterns of markers for different cancers and correlate them with different outcomes, including responsiveness to various treatment options. The project is focusing on 4 types of cancer, with the first focus being on lung cancer, and will move on to ovarian cancer, prostate cancer and sarcoma.[63][64]

Help Stop TB was launched in March 2016 to help combat tuberculosis, a disease caused by a bacterium that is evolving resistance to currently available treatments. The computations of this project target mycolic acids in the bacterium's protective coat, simulating the behaviour of these molecules to better understand how they offer protection to the bacteria.[65]

Launched in January 2017, the Smash Childhood Cancer project builds on the work from the Help Fight Childhood Cancer project by looking for drug candidates targeting additional childhood cancers.[66][67] Upon Dr. Akira Nakagawara's retirement in March 2020, the principal investigator changed to Dr. Godfrey Chan, who was one of the original members of the Smash Childhood Cancer team. Additionally, PRDM14 and Fox01 have been added as new targets for investigation.[68] An inhibitor of the osteopontin protein was modeled.[69]

The Africa Rainfall Project (launched October 2019) will use the computing power of World Community Grid, data from The Weather Company, and other data to improve rainfall modelling, which can help farmers in sub-Saharan Africa successfully raise their crops.[70] The amount of RAM that can be involved in calculations is from 1 to 16 gigabytes.[71]

The first project launched on World Community Grid was the Human Proteome Folding Project, or HPF1, which aims to predict the structure of human proteins. The project was launched on November 16, 2004,[72] and completed on July 18, 2006.[72] This project was unique in that computation was done in tandem with the grid.org distributed computing project.[73] Devised by Richard Bonneau at the Institute for Systems Biology, the project used grid computing to produce the likely structures for each of the proteins using a Rosetta Score. From these predictions, researchers hope to predict the function of the myriad proteins. This increased understanding of the human proteins could prove vital in the search for cures to human diseases.[74] Computing for this project was officially completed on July 18, 2006.[75] Research results for the yeast portion of HPF1 have been published.[76]

Human Proteome Folding - Phase 2 (HPF2) (launched June 23, 2006[77]) was the third project to run on World Community Grid, and completed in 2013. This project, following on from HPF1, focused on human-secreted proteins, with special focus on biomarkers and the proteins on the surface of cells as well as Plasmodium, the organism that causes malaria. HPF2 generates higher-resolution protein models than HPF1. Though these higher-resolution models are more useful, they also require more processing power to generate.[78]

In a July 2012 status report, the project scientists reported that the results generated by the WCG calculations are being used by Dr. Markus Landthaler of the Max Delbruch Center for Molecular Medicine (MDC) in Berlin. The HPF2 results helped Dr. Markus Landthaler and his collaborators in writing up a new paper on "The mRNA-Bound Proteome and Its Global Occupancy Profile on Protein-Coding Transcripts"[79]

The Help Defeat Cancer project seeks to improve the ability of medical professionals to determine the best treatment options for patients with breast, head, or neck cancer. The project was launched on July 20, 2006,[72] and completed in April 2007.[72] The project worked by identifying visual patterns in large numbers of tissue microarrays taken from archived tissue samples. By correlating the pattern data with information about treatment and patient outcome, the results of this project could help provide better targeted treatment options.[80]

The Genome Comparison project is sponsored by the Brazilian research institution Fiocruz.[77] The project was launched on November 21, 2006,[72] and completed on July 21, 2007.[72] The project seeks to compare gene sequences of different organisms against each other in order to find similarities between them. Scientists hope to discover what purpose a particular gene sequence serves in a particular function of one organism, via comparing it to a similar gene sequence of known function in another organism.[81]

Help Cure Muscular Dystrophy is run by Décrypthon, a collaboration between French Muscular Dystrophy Association, French National Center for Scientific Research and IBM. Phase 1 was launched on December 19, 2006,[77] and completed on June 11, 2007.[82] The project investigated protein–protein interactions for 40,000 proteins whose structures are known, with particular focus on those proteins that play a role in neuromuscular diseases. The database of information produced will help researchers design molecules to inhibit or enhance binding of particular macromolecules, hopefully leading to better treatments for muscular dystrophy and other neuromuscular diseases.[83] This project was available only to agents running the Grid MP client, making it unavailable to users running BOINC.[84]

Discovering Dengue Drugs – Together was sponsored by scientists at the University of Texas and the University of Chicago and will run in two phases.[85] Phase 1, launched August 21, 2007,[77] used AutoDock 2007 (the same software used for FightAIDS@Home) to test potential antiviral drugs (through NS3 protease inhibition) against viruses from the family flaviviridae and completed on August 11, 2009.[86][87] Phase 2 "[uses] a more computationally intensive program to screen the candidates that make it through Phase 1."[88] The drug candidates that make it through Phase 2 will then be lab-tested.[88]

The mission of AfricanClimate@Home was to develop more accurate climate models of specific regions in Africa. It was intended to serve as a basis for understanding how the climate will change in the future so that measures designed to alleviate the adverse effects of climate change could be implemented. World Community Grid's tremendous computing power was used to understand and reduce the uncertainty with which climate processes were simulated over Africa. Phase 1 of African Climate@Home launched on September 3, 2007,[89] and ended in July 2008.[90]

Help Conquer Cancer project (launched November 1, 2007[91]) is sponsored by the Ontario Cancer Institute (OCI), Princess Margaret Hospital and University Health Network of Toronto, Canada. The project involves X-ray crystallography. The mission of Help Conquer Cancer is to improve the results of protein X-ray crystallography, which helps researchers not only annotate unknown parts of the human proteome, but importantly improves their understanding of cancer initiation, progression and treatment.[92]

The HCC project was the first WCG project benefiting from graphics processing units (GPU)s which helped finish it a lot earlier than initially projected due to the massive power of GPUs. In the April 2013 status report[93] the scientists report there is still a lot of data to analyze but that they are preparing a new project that will search for prognostic and predictive signatures (sets of genes, proteins, microRNAs, etc.) that help predict patient survival and response to treatment. The project finished in May 2013.

The Nutritious Rice for the World project is carried out by Ram Samudrala's Computational Biology Research Group at the University of Washington. The project was launched on May 12, 2008, and completed on April 6, 2010.[94] The purpose of this project is to predict the structure of proteins of major strains of rice, in order to help farmers breed better rice strains with higher crop yields, promote greater disease and pest resistance, and utilize a full range of bioavailable nutrients that can benefit people around the world, especially in regions where malnutrition is a critical concern. The project has been covered by more than 200 media outlets since its inception.[95] On April 13, 2010, World Community Grid officially announced that the Nutritious Rice for the World project finished on April 6, 2010.[94]

In April 2014, an update was posted stating that the research team was able to publish structural information about thousands of proteins, and advance the field of computational protein modeling. These results – which were only possible because of the massive amount of donated computing power they had available – are expected to guide future research and plant science efforts.[96]

The Clean Energy project is sponsored by the scientists of Harvard University's Department of Chemistry and Chemical Biology.[97] The mission of the Clean Energy Project is to find new materials for the next generation of solar cells and later, energy storage devices. Researchers are employing molecular mechanics and electronic structure calculations to predict the optical and transport properties of molecules that could become the next generation of solar cell materials.

Phase 1 was launched on December 5, 2008, and completed on October 13, 2009.[98] By harnessing the computing power of the World Community Grid, researchers were able to calculate the electronic properties of tens of thousands of organic materials – many more than could ever be tested in a lab – and determine which candidates are most promising for developing affordable solar energy technology.[99]

Phase 2 was launched June 28, 2010,[100] sponsored by the scientists of Harvard University's Department of Chemistry and Chemical Biology.[97] Further calculations about optical, electronic and other physical properties of the candidate materials are being conducted with the Q-Chem quantum chemistry software.[101] Their findings have been submitted to the Energy & Environmental Science journal.[102]

Help Fight Childhood Cancer project (launched March 13, 2009[103]) is sponsored by the scientists at Chiba Cancer Center Research Institute and Chiba University.[104] The mission of the Help Fight Childhood Cancer project is to find drugs that can disable three particular proteins associated with neuroblastoma, one of the most frequently occurring solid tumors in children. Identifying these drugs could potentially make the disease much more curable when combined with chemotherapy treatment.[105]

Influenza Antiviral Drug Search project is sponsored by Dr. Stan Watowich and his research team at The University of Texas Medical Branch (Galveston, Texas, USA).[106] The project was launched on May 5, 2009, and completed on October 22, 2009.[107] The mission of the Influenza Antiviral Drug Search project is to find new drugs that can stop the spread of an influenza infection in the body. The research will specifically address the influenza strains that have become drug resistant as well as new strains that are appearing. Identifying the chemical compounds that are the best candidates will accelerate the efforts to develop treatments that would be useful in managing seasonal influenza outbreaks, and future influenza epidemics and even pandemics.[108] Phase 1 of The Influenza Antiviral Drug Search project has already finished on October 22, 2009. Now the researchers are performing post-processing on the results from Phase 1 and are preparing for Phase 2.[107]

In November 2012, the project's scientists stated that, given the fact that there is no immediate danger of an influenza outbreak, all of the project's results would be posted online and their resources would be refocused on the Dengue Project.[109]

World Community Grid and researchers supported by Decrypthon, a partnership between AFM (French Muscular Dystrophy Association), CNRS (French National Center for Scientific Research), Universite Pierre et Marie Curie, and IBM were investigating protein–protein interactions for more than 2,200 proteins whose structures are known, with particular focus on those proteins that play a role in neuromuscular diseases. Phase 2 was launched on May 12, 2009,[110] and completed on September 26, 2012. The database of information produced will help researchers design molecules to inhibit or enhance binding of particular macromolecules, hopefully leading to better treatments for muscular dystrophy and other neuromuscular diseases.[111]

Phase 2 of the Help Cure Muscular Dystrophy project began once the results from the first phase had been analyzed. Phase 2 ran on the BOINC platform.[4][112]

Discovering Dengue Drugs – Together – Phase 2 (launched February 17, 2010[113]) is sponsored by The University of Texas Medical Branch (UTMB) in Galveston, Texas, United States and the University of Chicago in Illinois, USA. The mission is to identify promising drug candidates to combat the Dengue, Hepatitis C, West Nile, Yellow Fever, and other related viruses. The extensive computing power of World Community Grid will be used to complete the structure-based drug discovery calculations required to identify these drug candidates.[114]

Computing for Clean Water (launched September 20, 2010[115][116]) is sponsored by the Center for Nano and Micro Mechanics of Tsinghua University in Beijing. The project's mission is to provide deeper insight on the molecular scale into the origins of the efficient flow of water through a novel class of filter materials. This insight will in turn guide future development of low-cost and more efficient water filters. It is estimated that 1.2 billion people lack access to safe drinking water, and 2.6 billion have little or no sanitation. As a result, millions of people die annually – an estimated 3,900 children a day due to a lack of clean water.[117] On April 25, 2014, the project scientists released an update stating that they had exciting results to report when the paper is submitted and that the project on WCG was finished.[118]

Drug Search for Leishmaniasis (launched September 7, 2011[119]) is spearheaded by the University of Antioquia in Medellín, Colombia, with assistance from researchers at the University of Texas Medical Branch in Galveston, Texas. The mission is to identify potential molecule candidates that could possibly be developed into treatments for Leishmaniasis. The extensive computing power of World Community Grid will be used to perform computer simulations of the interactions between millions of chemical compounds and certain target proteins. This will help find the most promising compounds that may lead to effective treatments for the disease.[120]

The mission of the GO Fight Against Malaria project (launched November 16, 2011[121]) is to discover promising drug candidates that could be developed into new drugs that cure drug resistant forms of malaria. The computing power of World Community Grid will be used to perform computer simulations of the interactions between millions of chemical compounds and certain target proteins, to predict their ability to eliminate malaria. The best compounds will be tested by scientists at The Scripps Research Institute of La Jolla, California, U.S.A. and further developed into possible treatments for the disease.[122]

Say No to Schistosoma (launched February 22, 2012[123]) was the 20th research project to be launched on World Community Grid. The researchers at Infórium University in Belo Horizonte and FIOCRUZ-Minas, Brazil, ran this project on World Community Grid to perform computer simulations of the interactions between millions of chemical compounds and certain target proteins in the hope of finding effective treatments for schistosomiasis.[124] As of April 2015, subsequent analysis had been performed, and the three most promising candidate substances had been identified for in-vitro testing.[57]

Computing for Sustainable Water was the 21st research project to be launched on World Community Grid. The researchers at the University of Virginia were running this project on World Community Grid to study the effects of human activity on a large watershed and gain deeper insights into what actions can support the restoration, health and sustainability of this important water resource.[125] The project was launched on April 17, 2012,[126] and completed on October 17, 2012.

Uncovering Genome Mysteries project launched on October 16, 2014, and is a joint collaboration between Australian and Brazilian scientists. The project aims to examine close to 200 million genes from many life forms and compare them with known genes in order to find out what their function is. The results could have an effect in fields such as medicine and environmental research.[127]

Outsmart Ebola Together was a collaboration with the Scripps Research Institute to help find chemical compounds to fight Ebola virus disease.[128] It was launched on 3 December 2014.[129] The aim is to block crucial steps in the life cycle of the virus, by finding drugs with high binding affinity with certain of its proteins. There are two targets: a surface protein used by the virus to infect human cells, and "transformer" proteins which change shape to carry out different functions.[130] The project officially completed December 6, 2018.[131]

OpenZika was launched on May 18, 2016, to help combat the Zika virus. The project targets proteins that are believed to be used by the Zika virus to survive and spread in the body, based on known results from similar diseases like dengue fever and yellow fever. These results will help researchers develop an anti-Zika drug.[132] The project officially completed December 13, 2019.[133]

FightAIDS@Home (launched November 19, 2005[134]) was World Community Grid's second project and its first to target a single disease. Each individual computer processes one potential drug molecule and tests how well it would dock with HIV protease, acting as a protease inhibitor.[135] Scripps Research Institute published its first peer-reviewed scientific paper about the results of FightAIDS@Home on April 21, 2007.[136] This paper explains that the results up to that point will primarily be used to improve the efficiency of future FightAIDS@Home calculations.[137]

FightAIDS@Home Phase 2 (launched September 30, 2015[138]) is looking more closely at the results of Phase 1. The project has two goals in the early experiments; the simulation architecture is functioning correctly and giving reliable results, and using BEDAM and AutoDock together provides better results than using just BEDAM or AutoDock.[139]

Microbiome Immunity Project (launched August 2017) is a study of proteins in bacteria located in and on the human body; the human microbiome, which comprises around 3 million separate bacterial genes. By learning bacteria genes, their individual shapes can be known, and each physical shape determines the function of bacteria.[140] Collaborative institutions includes the University of California San Diego, Broad Institute of MIT and Harvard, and the Simons Foundation's Flatiron Institute.[141]