Help Fight Childhood Cancer

来自中国分布式计算总站
Youth讨论 | 贡献2009年10月16日 (五) 13:39的版本 (新页面: <big>'''对抗儿童癌症'''</big> <br><br> 本项目是 IBM 公司主持的 World Community Grid 项目的子项目。 <BR><BR> ==项目状态和成果== Information on the Help Fi...)
(差异) ←上一版本 | 最后版本 (差异) | 下一版本→ (差异)
跳转到导航 跳转到搜索

对抗儿童癌症

本项目是 IBM 公司主持的 World Community Grid 项目的子项目。

项目状态和成果

Information on the Help Fight Childhood Cancer project may be found on these pages, on the Chiba University Help Fight Childhood Cancer website (Japanese here) and on Chiba Cancer Center's Help Fight Childhood Cancer website (Japanese here). The latest status updates may also be found at this site. To discuss or ask questions about this project, please visit the Help Fight Childhood Cancer Forum.

任务

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.

意义

Neuroblastoma is one of the most common tumors occuring in early childhood and is the most common cause of death in children with solid cancer tumors. If this project is successful, it could dramatically increase the cure rate for neuroblastoma, providing the breakthrough for this disease that has eluded scientists thus far.

方法

Proteins (molecules which are a bound collection of atoms) are the building blocks of all life processes. They also play an important role in the progress of diseases such as cancer.

Scientists have identified three particular proteins involved with neuroblastoma, which if disabled, could make the disease much more curable by conventional methods such as chemotherapy. This project is performing virtual chemistry experiments between these proteins and each of the three million drug candidates that scientists believe could potentially block the proteins involved. A computer program called AutoDock will test if the shape of the protein and shape of each drug candidate fit together and bond in a suitable way to disable the protein.

This work consists of 9 million virtual chemistry experiments, each of which would take hours to perform on a single computer, totaling over 8,000 years of computer time. World Community Grid is performing these computations in parallel and is thus speeding up the effort dramatically. The project is expected to be completed in two years or less.