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A Structural Classification of RNA

A Structural Classification of RNA
RNA 的结构分类
批准号:
6630498
负责人:
STEPHEN R HOLBROOK
金额:
$26.98万
依托单位国家:
美国
项目类别:
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-08-01 至 2006-07-31

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中文摘要
翻译
描述(由申请人提供):RNA结构和功能的全面检查可以产生无法从单个分子分析中获得的见解。为了帮助理解庞大且快速增长的RNA结构数据库,我们建议创建一个RNA结构分类(scaR)。这个数据库将组织功能在四个层次的复杂性:三维图案,三级相互作用,结构域,和整个分子。每一个都可能有多种组织方式;例如,通过循环大小和基本堆叠。为了初步定义显著的复发特征,分类将从手动检查所有RNA结构开始开始。随着项目的进展,观察到的特征将被形式化为算法,用于对RNA结构进行快速、可重复和准确的分析和分类。 结构特征将被映射到功能分类中,两者之间的关联将用于研究RNA结构和功能之间的一般关系。为了探索RNA结构的进化基础和结构对序列的依赖性,将在已知结构的分类RNA和它们进化上相关的家族之间建立详细的联系。 这种分类将立即阐明RNA结构特征的普遍性和可变性。此外,它还有望在RNA分子建模、分子设计和工程、RNA配体和药物设计等方面得到应用。它将极大地增强我们对RNA结构-功能关系、RNA结构与物理和生物学性质之间的相关性以及进化对RNA结构的影响的理解。该数据库还将为专家和新手提供方便和合理的手段,以访问和解释日益丰富的RNA序列和结构数据。
英文摘要
DESCRIPTION (provided by applicant): Comprehensive examination of RNA structure and function can yield insights Impossible to giean from analysis of individual molecules. To aid understanding of the large and rapidly growing corpus of RNA structural data, we propose to create a structural classification of RNA (scaR). This database will organize features at four levels of complexity: three-dimensional motifs, tertiary interactions, structural domains, and whole molecules. Each of these may have multiple means of organization; for example, both by loop size and by base stacking. To initially define significant recurrent features, the classification will begin with manual inspection of all RNA structures. As the project progresses, observed characteristics will be formalized into algorithms that will be applied to perform rapid, reproducible, and accurate analysis and classification of RNA structures. The structural features will be mapped into a functional classification, and the associations between the two will be used to study general relationships between aspects of RNA structure and their function. To explore the evolutionary basis of RNA structure and the dependence of structure upon sequence, detailed links will be forged between classified RNAs of known structure and their evolutionarily related families. This classification will immediately elucidate the prevalence and variability of features in RNA structure. In addition, it is expected to have applications in RNA molecular modeling, molecular design and engineering, and RNA ligand and drug design. It will greatly enhance our understanding of RNA structure-function relations, the correlation between RNA structure and physical and biological properties, and evolutionary effects on RNA structure. The database will also provide a convenient and logical means for experts and neophytes alike to access and interpret the growing wealth of RNA sequence and structural data.
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Discovery of Novel RNA Genes in Genomic DNA Sequences
Discovery of Novel RNA Genes in Genomic DNA Sequences
Discovery of Novel RNA Genes in Genomic DNA Sequences
A Structural Classification of RNA
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