Computerized analysis and prediction of RNA structure and function

RNA结构和功能的计算机分析和预测

• 批准号: 170165-2006
• 负责人: Major, François
• 金额: $ 1.94万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=364162
• 关键词: Computerized; analysis; prediction; RNA; structure

Ribonucleic acids (RNAs) are among the main molecules that constitute the cell, and they play important roles in genetic expression. In order to understand how the cell works at the genetic level, we need to identify and characterize the important RNAs of the cell. However, the application of current experimental methods to accomplish this task is long and costly, which creates a large delay before functional results are obtained after the sequence information is made available. This research involves the development of computational approaches that will speed-up RNA identification and characterization by rapidly suggesting experiments that will optimize the discovery process. The results of this research have broader application in RNA research.

核糖核酸(RNAs)是构成细胞的主要分子之一，在遗传表达中发挥着重要作用。为了了解细胞在基因水平上是如何工作的，我们需要识别和表征细胞的重要RNA。然而，目前的实验方法用于完成这一任务的时间长且成本高，这在序列信息可用后获得功能结果之前造成了很大的延迟。这项研究涉及到计算方法的开发，这些方法将通过快速建议优化发现过程的实验来加快RNA识别和表征。本研究成果在RNA研究中具有更广泛的应用前景。