The overall involvement in our Folding@Home project was significant in that we were ranked 2nd in our total grid team contribution. During our service, our team number was contributing processing power to the research of protein misfolding.
The program allows for protein coding to be simulated in milliseconds over a long time frame in order to better understand the entire time frame of disease or mutation's development. Another aspect of study run by these programs is the similarities in viral adhesion to cells having similar identifying carbohydrate markers. This knowledge will lend to a better understanding of how viruses and diseases transfer from species to species, and why they vary in severity between species. This information could potentially lead to finding more answers to questions concerning the diagnosis and mutation of plaques during the onset of Alzheimer’s disease.
Overall, our group processed over 50 million work units and contributed to our team score with a total score of 18 billion. (Points are determined by the performance of a each contributor's folding hardware (CPU, GPU, etc.) relative to a reference benchmark machine). Also, we've decided that we will continue to run this program in order to contribute to further research.
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