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发表于 2014-4-16 10:33:31
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本帖最后由 vmzy 于 2014-4-16 11:28 编辑
Drug Search for Leishmaniasis project update 
By: Dr. Carlos Muskus López | Coordinator, Molecular Biology and Computational Unit, PECET University of Antioquia |
| 15 四月 2014 | |

摘要
A project update from the Drug Search for Leishmaniasis scientists, describing the analysis of the data generated by World Community Grid volunteers.


Dear World Community Grid community,
Since we completed our work on World Community Grid, we have been running a second software program locally, which is searching for the best scoring protein-compound interactions.
The Drug Search for Leishmaniasis (DSFL) project produced files containing data on more than one billion interactions, so the work to search and filter the best docking results will still take some time. Currently, our new software program has searched approximately 85% of the DSFL data and a preliminary analysis of the results have shown interesting results.
As you probably know, Auto-dock Vina, was the program used on World Community Grid to evaluate candidate compounds for anti-Leishmania activity. The main score ranged between 0 and -16, with the more negative being better. In the table below, you can see the top 20 compounds with docking scores around -13, which are very good in terms of predicted interaction. These 20 compounds have been shown to interact well in silico, with three Leishmania proteins with ID's 2WSA, 3MJY and 3POI.
In addition, we are making an effort to get funds to test these and others compounds initially in vitro. We had submitted a proposal to a foundation called "Open Lab", but unfortunately, our proposal was not approved for funding. However, we have approval to test between 10 and 20 compounds in vitro using resources of the consortium of the main Colombian funding agency (Colciencias).
Table 1. Details of the top 20 docking interactions with information about the detected compounds, protein targets, and molecular dynamics model of the proteins and their corresponding scores in Kcal/mol.
Score | Compounds | Structure | Model | -13,8 | ZINC0583XXXX | 3P0I | 20 | -13,7 | ZINC0896XXXX | 2WSA | 30 | -13,5 | ZINC1270XXXX | 2WSA | 30 | -13,5 | ZINC0956XXXX | 2WSA | 80 | -13,3 | ZINC1209XXXX | 2WSA | 30 | -13,3 | ZINC1705XXXX | 2WSA | 30 | -13,3 | ZINC3312XXXX | 3MJY | 50 | -13,3 | ZINC3312XXXX | 3MJY | 80 | -13,2 | ZINC0497XXXX | 2WSA | 30 | -13,2 | ZINC0922XXXX | 2WSA | 30 | -13,2 | ZINC2194XXXX | 2WSA | 30 | -13,2 | ZINC2194XXXX | 2WSA | 30 | -13,2 | ZINC2214XXXX | 2WSA | 30 | -13,2 | ZINC0925XXXX | 2WSA | 40 | -13,2 | ZINC0961XXXX | 2WSA | 80 | -13,2 | ZINC1215XXXX | 2WSA | 80 | -13,1 | ZINC3299XXXX | 2WSA | 20 | -13,1 | ZINC0860XXXX | 2WSA | 30 | -13,1 | ZINC0891XXXX | 2WSA | 30 | -13,1 | ZINC0896XXXX | 2WSA | 30 |
Thank you for your support and we will keep you updated on our progress,
Dr. Carlos Muskus López大意:
DSFL的结果文件有10亿多个。我们现在正在分析筛选其中的有效结果。目前已经完成了85%,找到了不少有效结果(分数越低越好,下面有这20个蛋白质的数据列表)。我们准备拿10到20个蛋白质,进行实验室测试。但是目前缺少资金,我们向"Open Lab"申请了资金,但是没批准。接下来我们将继续向哥伦比亚基金协会申请资金。
Live webcast for Nutritious Rice for the World: April 17th, 7:00pm UTC 

摘要
Join us on April 17th at 3:00pm Eastern (7:00pm UTC) for a live online presentation that will review how our members helped researchers understand the structure of rice proteins. These results could support the development of better food for billions of people worldwide.


Rice supplies 20% of all the calories eaten by humankind. There are thousands of varieties of rice, with considerable ongoing effort toward breeding new varieties with better nutritional content. The motivation is clear: a better strain of rice could improve the lives of billions of people.
However, these breeding efforts are hindered by a gap in scientific knowledge. Scientists know that the rice plant has thousands of proteins - molecules that are essential to nearly every process within living cells. However, the structures and functions of these proteins are mostly unknown. If scientists could understand the structures of rice proteins, they could have a better idea of what these proteins do, and which ones are important for nutritious, hardy rice plants. Plant breeding efforts could then try to target those proteins and develop better strains of rice.
The Nutritious Rice for the World project, which ran on World Community Grid from 2008 to 2010, aimed to use the power of volunteer computing to make predictions about the structures of rice proteins. Since completing their modeling calculations on World Community Grid, the research team has been analyzing the data generated by our volunteers and will present their work on April 17th.
In this research, a team from the University of Washington set out to use the rice genome – its DNA sequence – to predict the structures of the proteins that are created from that DNA template. World Community Grid members contributed over 25,000 years of processing time to simulate over 10 billion possible protein structures in the quest to help researchers determine which structures likely corresponded to a given DNA sequence.
On Thursday's live online presentation, Dr. Ling-Hong Hung will review the goals of the project, explain how members were able to help in those efforts, and give an update about the further analysis they have done on data they received from World Community Grid volunteers. The 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.
This is a great opportunity to learn about how World Community Grid work can have important consequences for an essential real-world research topic.
Please check your browser capability and join the live webcast on April 17th at 3:00pm Eastern Time (USA) / 7:00pm UTC.
大意:
4月18号凌晨3点,营养大米项目开网络视频会。
在人类输入的能量中大米占了20%,全球有上千种水稻,目前主要采用杂交的方法进行水稻品种改良,以解决粮食危机问题。
杂交的改进速度比较慢。所以项目方在08-10年,利用WCG平台,基于水稻的基因,对水稻的蛋白质结构进行预测,对这些蛋白质的功能进行研究,以期望找到最佳的转基因改良方法,获得更有营养更具抗性的水稻品种。在18号的网络视频会中,项目方将对研究结果进行展示。
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